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- complex_traits_matched_9/AUPRC_by_chrom/3_prime_UTR_variant/GPN_final_Embeddings.plus.euclidean_distance.csv +19 -0
- complex_traits_matched_9/AUPRC_by_chrom/all/CADD.LogisticRegression.chrom.csv +23 -0
- complex_traits_matched_9/AUPRC_by_chrom/all/Caduceus_Embeddings.plus.cosine_distance.csv +23 -0
- complex_traits_matched_9/AUPRC_by_chrom/no_cadd_overlap/Borzoi.LogisticRegression.chrom.subset_from_all.csv +23 -0
- complex_traits_matched_9/AUPRC_by_chrom/no_cadd_overlap/Borzoi_L2_L2.plus.all.csv +23 -0
- complex_traits_matched_9/AUPRC_by_chrom/no_cadd_overlap/CADD.LogisticRegression.chrom.subset_from_all.csv +23 -0
- complex_traits_matched_9/AUPRC_by_chrom/no_cadd_overlap/CADD.plus.RawScore.csv +23 -0
- complex_traits_matched_9/AUPRC_by_chrom/no_cadd_overlap/Caduceus.LogisticRegression.chrom.subset_from_all.csv +23 -0
- complex_traits_matched_9/AUPRC_by_chrom/no_cadd_overlap/Caduceus_Embeddings.minus.inner_product.csv +23 -0
- complex_traits_matched_9/AUPRC_by_chrom/no_cadd_overlap/Caduceus_Embeddings.plus.euclidean_distance.csv +23 -0
- complex_traits_matched_9/AUPRC_by_chrom/no_cadd_overlap/Enformer.LogisticRegression.chrom.subset_from_all.csv +23 -0
- complex_traits_matched_9/AUPRC_by_chrom/no_cadd_overlap/Enformer_L2_L2.plus.all.csv +23 -0
- complex_traits_matched_9/AUPRC_by_chrom/no_cadd_overlap/GPN-MSA.LogisticRegression.chrom.subset_from_all.csv +23 -0
- complex_traits_matched_9/AUPRC_by_chrom/no_cadd_overlap/GPN-MSA_LLR.minus.score.csv +23 -0
- complex_traits_matched_9/AUPRC_by_chrom/no_cadd_overlap/GPN-MSA_absLLR.plus.score.csv +23 -0
- complex_traits_matched_9/AUPRC_by_chrom/no_cadd_overlap/GPN_final.LogisticRegression.chrom.subset_from_all.csv +23 -0
- complex_traits_matched_9/AUPRC_by_chrom/no_cadd_overlap/GPN_final_Embeddings.plus.euclidean_distance.csv +23 -0
- complex_traits_matched_9/AUPRC_by_chrom/no_cadd_overlap/GPN_final_LLR.minus.score.csv +23 -0
- complex_traits_matched_9/AUPRC_by_chrom/no_cadd_overlap/GPN_final_absLLR.plus.score.csv +23 -0
- complex_traits_matched_9/AUPRC_by_chrom/no_cadd_overlap/HyenaDNA.LogisticRegression.chrom.subset_from_all.csv +23 -0
- complex_traits_matched_9/AUPRC_by_chrom/no_cadd_overlap/HyenaDNA_Embeddings.minus.inner_product.csv +23 -0
- complex_traits_matched_9/AUPRC_by_chrom/no_cadd_overlap/NucleotideTransformer.LogisticRegression.chrom.subset_from_all.csv +23 -0
- complex_traits_matched_9/AUPRC_by_chrom/no_cadd_overlap/NucleotideTransformer_Embeddings.minus.inner_product.csv +23 -0
- complex_traits_matched_9/AUPRC_by_chrom/no_cadd_overlap/NucleotideTransformer_Embeddings.plus.euclidean_distance.csv +23 -0
- complex_traits_matched_9/AUPRC_by_chrom/no_cadd_overlap/Sei.LogisticRegression.chrom.subset_from_all.csv +23 -0
- complex_traits_matched_9/AUPRC_by_chrom/no_cadd_overlap/Sei.plus.seqclass_max_absdiff.csv +23 -0
- complex_traits_matched_9/AUPRC_by_chrom/no_eqtl_overlap/Borzoi.LogisticRegression.chrom.subset_from_all.csv +23 -0
- complex_traits_matched_9/AUPRC_by_chrom/no_eqtl_overlap/Borzoi_L2_L2.plus.all.csv +23 -0
- complex_traits_matched_9/AUPRC_by_chrom/no_eqtl_overlap/CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.subset_from_all.csv +23 -0
- complex_traits_matched_9/AUPRC_by_chrom/no_eqtl_overlap/CADD.LogisticRegression.chrom.subset_from_all.csv +23 -0
- complex_traits_matched_9/AUPRC_by_chrom/no_eqtl_overlap/CADD.plus.RawScore.csv +23 -0
- complex_traits_matched_9/AUPRC_by_chrom/no_eqtl_overlap/GPN-MSA.LogisticRegression.chrom.subset_from_all.csv +23 -0
- complex_traits_matched_9/AUPRC_by_chrom/no_eqtl_overlap/GPN-MSA_absLLR.plus.score.csv +23 -0
- complex_traits_matched_9/AUPRC_by_chrom/non_coding_transcript_exon_variant/GPN_final.LogisticRegression.chrom.subset_from_all.csv +19 -0
- complex_traits_matched_9/AUPRC_by_chrom/non_coding_transcript_exon_variant/GPN_final_Embeddings.plus.euclidean_distance.csv +19 -0
- complex_traits_matched_9/AUPRC_by_chrom/nonexonic_AND_proximal/GPN_final.LogisticRegression.chrom.subset_from_all.csv +21 -0
- complex_traits_matched_9/AUPRC_by_chrom/nonexonic_AND_proximal/GPN_final_Embeddings.plus.euclidean_distance.csv +21 -0
- complex_traits_matched_9/AUPRC_by_chrom/pip_0.99/Borzoi.LogisticRegression.chrom.subset_from_all.csv +23 -0
- complex_traits_matched_9/AUPRC_by_chrom/pip_0.99/CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.subset_from_all.csv +23 -0
- complex_traits_matched_9/AUPRC_by_chrom/pip_0.99/CADD.plus.RawScore.csv +23 -0
- complex_traits_matched_9/AUPRC_by_chrom/pip_0.999/Borzoi.LogisticRegression.chrom.subset_from_all.csv +23 -0
- complex_traits_matched_9/AUPRC_by_chrom/pip_0.999/Borzoi_L2_L2.plus.all.csv +23 -0
- complex_traits_matched_9/AUPRC_by_chrom/pip_0.999/CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.subset_from_all.csv +23 -0
- complex_traits_matched_9/AUPRC_by_chrom/pip_0.999/CADD.LogisticRegression.chrom.subset_from_all.csv +23 -0
- complex_traits_matched_9/AUPRC_by_chrom/pip_0.999/CADD.plus.RawScore.csv +23 -0
- complex_traits_matched_9/AUPRC_by_chrom/pip_0.999/GPN-MSA.LogisticRegression.chrom.subset_from_all.csv +23 -0
- complex_traits_matched_9/AUPRC_by_chrom/pip_0.999/GPN-MSA_absLLR.plus.score.csv +23 -0
- complex_traits_matched_9/AUPRC_by_chrom/pleiotropy_no/Borzoi.LogisticRegression.chrom.subset_from_all.csv +23 -0
- complex_traits_matched_9/AUPRC_by_chrom/pleiotropy_no/Borzoi_L2_L2.plus.all.csv +23 -0
- complex_traits_matched_9/AUPRC_by_chrom/pleiotropy_no/CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.subset_from_all.csv +23 -0
complex_traits_matched_9/AUPRC_by_chrom/3_prime_UTR_variant/GPN_final_Embeddings.plus.euclidean_distance.csv
ADDED
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chrom,n,Model,AUPRC
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2 |
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1,40,GPN_final_Embeddings.plus.euclidean_distance,0.24523809523809526
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3 |
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2,30,GPN_final_Embeddings.plus.euclidean_distance,0.16189931350114417
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4 |
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3,30,GPN_final_Embeddings.plus.euclidean_distance,0.14347961406784937
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5 |
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5,40,GPN_final_Embeddings.plus.euclidean_distance,0.14384469696969698
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6 |
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6,10,GPN_final_Embeddings.plus.euclidean_distance,0.1
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7 |
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7,10,GPN_final_Embeddings.plus.euclidean_distance,0.1
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8 |
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9,20,GPN_final_Embeddings.plus.euclidean_distance,0.1588235294117647
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9 |
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10,20,GPN_final_Embeddings.plus.euclidean_distance,0.10882352941176471
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11,20,GPN_final_Embeddings.plus.euclidean_distance,0.26666666666666666
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12,40,GPN_final_Embeddings.plus.euclidean_distance,0.19603817235396181
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14,10,GPN_final_Embeddings.plus.euclidean_distance,0.25
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15,30,GPN_final_Embeddings.plus.euclidean_distance,0.4083333333333333
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16,20,GPN_final_Embeddings.plus.euclidean_distance,0.3055555555555556
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17,70,GPN_final_Embeddings.plus.euclidean_distance,0.16073500829652165
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16 |
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18,10,GPN_final_Embeddings.plus.euclidean_distance,0.14285714285714285
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19,80,GPN_final_Embeddings.plus.euclidean_distance,0.13729005589028134
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18 |
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20,20,GPN_final_Embeddings.plus.euclidean_distance,0.14835164835164835
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22,20,GPN_final_Embeddings.plus.euclidean_distance,0.15555555555555556
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complex_traits_matched_9/AUPRC_by_chrom/all/CADD.LogisticRegression.chrom.csv
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chrom,n,Model,AUPRC
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2 |
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1,1000,CADD.LogisticRegression.chrom,0.2804234370631062
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3 |
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2,900,CADD.LogisticRegression.chrom,0.2490996879081556
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4 |
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3,650,CADD.LogisticRegression.chrom,0.3040601808375204
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4,400,CADD.LogisticRegression.chrom,0.22726532803237684
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6 |
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5,510,CADD.LogisticRegression.chrom,0.2574917985919467
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6,780,CADD.LogisticRegression.chrom,0.24632164836930184
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7,540,CADD.LogisticRegression.chrom,0.34919621490990665
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8,460,CADD.LogisticRegression.chrom,0.2814117622700229
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9,440,CADD.LogisticRegression.chrom,0.31992984736897595
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10,510,CADD.LogisticRegression.chrom,0.3197919111398827
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11,680,CADD.LogisticRegression.chrom,0.2571249546574229
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12,590,CADD.LogisticRegression.chrom,0.4038516341989517
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13,200,CADD.LogisticRegression.chrom,0.3383637257062684
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14,380,CADD.LogisticRegression.chrom,0.30176963195713274
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16 |
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15,390,CADD.LogisticRegression.chrom,0.17849283922498754
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16,590,CADD.LogisticRegression.chrom,0.38418553427131896
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17,560,CADD.LogisticRegression.chrom,0.18038152953760248
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18,290,CADD.LogisticRegression.chrom,0.35925051769896976
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19,580,CADD.LogisticRegression.chrom,0.2440713922356457
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20,530,CADD.LogisticRegression.chrom,0.2602450619726235
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21,140,CADD.LogisticRegression.chrom,0.2751542356333478
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+
22,280,CADD.LogisticRegression.chrom,0.2947758803512284
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complex_traits_matched_9/AUPRC_by_chrom/all/Caduceus_Embeddings.plus.cosine_distance.csv
ADDED
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chrom,n,Model,AUPRC
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2 |
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1,1000,Caduceus_Embeddings.plus.cosine_distance,0.11749365926557027
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3 |
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2,900,Caduceus_Embeddings.plus.cosine_distance,0.1074493501591424
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4 |
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3,650,Caduceus_Embeddings.plus.cosine_distance,0.1289738119058395
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4,400,Caduceus_Embeddings.plus.cosine_distance,0.10282431560474153
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5,510,Caduceus_Embeddings.plus.cosine_distance,0.09978423034450977
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6,780,Caduceus_Embeddings.plus.cosine_distance,0.0957980782248321
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7,540,Caduceus_Embeddings.plus.cosine_distance,0.10580008175629832
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9 |
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8,460,Caduceus_Embeddings.plus.cosine_distance,0.12105664883199939
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9,440,Caduceus_Embeddings.plus.cosine_distance,0.08861810212650686
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10,510,Caduceus_Embeddings.plus.cosine_distance,0.10872433419843588
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11,680,Caduceus_Embeddings.plus.cosine_distance,0.11210604571114668
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12,590,Caduceus_Embeddings.plus.cosine_distance,0.1105993409503315
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13,200,Caduceus_Embeddings.plus.cosine_distance,0.18535518715795113
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14,380,Caduceus_Embeddings.plus.cosine_distance,0.10868052187711807
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15,390,Caduceus_Embeddings.plus.cosine_distance,0.12367384384721547
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16,590,Caduceus_Embeddings.plus.cosine_distance,0.11273092623103817
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17,560,Caduceus_Embeddings.plus.cosine_distance,0.14774699247893006
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18,290,Caduceus_Embeddings.plus.cosine_distance,0.09301802802818379
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19,580,Caduceus_Embeddings.plus.cosine_distance,0.1147153211406573
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20,530,Caduceus_Embeddings.plus.cosine_distance,0.15629802698891443
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21,140,Caduceus_Embeddings.plus.cosine_distance,0.10732051018970382
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22,280,Caduceus_Embeddings.plus.cosine_distance,0.11140238102656047
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complex_traits_matched_9/AUPRC_by_chrom/no_cadd_overlap/Borzoi.LogisticRegression.chrom.subset_from_all.csv
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chrom,n,Model,AUPRC
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2 |
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1,830,Borzoi.LogisticRegression.chrom.subset_from_all,0.32095497452978816
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3 |
+
2,800,Borzoi.LogisticRegression.chrom.subset_from_all,0.25708808514552306
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+
3,590,Borzoi.LogisticRegression.chrom.subset_from_all,0.279978325651907
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+
4,350,Borzoi.LogisticRegression.chrom.subset_from_all,0.2650969436943309
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+
5,390,Borzoi.LogisticRegression.chrom.subset_from_all,0.35959643284831666
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+
6,710,Borzoi.LogisticRegression.chrom.subset_from_all,0.18708536637765127
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8 |
+
7,490,Borzoi.LogisticRegression.chrom.subset_from_all,0.4110049864558828
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+
8,390,Borzoi.LogisticRegression.chrom.subset_from_all,0.25242899309349115
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+
9,410,Borzoi.LogisticRegression.chrom.subset_from_all,0.25776112053190586
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+
10,470,Borzoi.LogisticRegression.chrom.subset_from_all,0.34567061497790363
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+
11,610,Borzoi.LogisticRegression.chrom.subset_from_all,0.2705647285177674
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12,510,Borzoi.LogisticRegression.chrom.subset_from_all,0.3396414576243363
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13,190,Borzoi.LogisticRegression.chrom.subset_from_all,0.22584469582354244
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14,340,Borzoi.LogisticRegression.chrom.subset_from_all,0.20045531919316525
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15,390,Borzoi.LogisticRegression.chrom.subset_from_all,0.3592202647825613
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16,550,Borzoi.LogisticRegression.chrom.subset_from_all,0.3500424638536192
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17,530,Borzoi.LogisticRegression.chrom.subset_from_all,0.3304253545877776
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18,260,Borzoi.LogisticRegression.chrom.subset_from_all,0.3192545615072017
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19,460,Borzoi.LogisticRegression.chrom.subset_from_all,0.3318068501002803
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20,460,Borzoi.LogisticRegression.chrom.subset_from_all,0.18606801178248994
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21,110,Borzoi.LogisticRegression.chrom.subset_from_all,0.44516042780748666
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+
22,260,Borzoi.LogisticRegression.chrom.subset_from_all,0.33503856606644705
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complex_traits_matched_9/AUPRC_by_chrom/no_cadd_overlap/Borzoi_L2_L2.plus.all.csv
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chrom,n,Model,AUPRC
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2 |
+
1,830,Borzoi_L2_L2.plus.all,0.24347862207401794
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3 |
+
2,800,Borzoi_L2_L2.plus.all,0.23569504252527518
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4 |
+
3,590,Borzoi_L2_L2.plus.all,0.2130026513230719
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5 |
+
4,350,Borzoi_L2_L2.plus.all,0.24234817956268126
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+
5,390,Borzoi_L2_L2.plus.all,0.2791592358807009
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7 |
+
6,710,Borzoi_L2_L2.plus.all,0.15549167769211836
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+
7,490,Borzoi_L2_L2.plus.all,0.2878432803622726
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9 |
+
8,390,Borzoi_L2_L2.plus.all,0.17283095034796553
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10 |
+
9,410,Borzoi_L2_L2.plus.all,0.19114035015497088
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11 |
+
10,470,Borzoi_L2_L2.plus.all,0.17465963033811824
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12 |
+
11,610,Borzoi_L2_L2.plus.all,0.21316548581658645
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13 |
+
12,510,Borzoi_L2_L2.plus.all,0.2758205281834588
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+
13,190,Borzoi_L2_L2.plus.all,0.3456033270154591
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+
14,340,Borzoi_L2_L2.plus.all,0.22866174565589792
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+
15,390,Borzoi_L2_L2.plus.all,0.20514970024687673
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+
16,550,Borzoi_L2_L2.plus.all,0.2743073490579965
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+
17,530,Borzoi_L2_L2.plus.all,0.22945880813116962
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+
18,260,Borzoi_L2_L2.plus.all,0.24615006006439769
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+
19,460,Borzoi_L2_L2.plus.all,0.2771347459252628
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+
20,460,Borzoi_L2_L2.plus.all,0.18614348114219864
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+
21,110,Borzoi_L2_L2.plus.all,0.3274173125951782
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+
22,260,Borzoi_L2_L2.plus.all,0.3144876487774563
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complex_traits_matched_9/AUPRC_by_chrom/no_cadd_overlap/CADD.LogisticRegression.chrom.subset_from_all.csv
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chrom,n,Model,AUPRC
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2 |
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1,830,CADD.LogisticRegression.chrom.subset_from_all,0.2701024368074748
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3 |
+
2,800,CADD.LogisticRegression.chrom.subset_from_all,0.2480882038894834
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4 |
+
3,590,CADD.LogisticRegression.chrom.subset_from_all,0.29938286850728213
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+
4,350,CADD.LogisticRegression.chrom.subset_from_all,0.2406987881968853
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+
5,390,CADD.LogisticRegression.chrom.subset_from_all,0.2414562030975229
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7 |
+
6,710,CADD.LogisticRegression.chrom.subset_from_all,0.24662201384443794
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8 |
+
7,490,CADD.LogisticRegression.chrom.subset_from_all,0.37149369450221686
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9 |
+
8,390,CADD.LogisticRegression.chrom.subset_from_all,0.2613962074118145
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10 |
+
9,410,CADD.LogisticRegression.chrom.subset_from_all,0.32469278667406487
|
11 |
+
10,470,CADD.LogisticRegression.chrom.subset_from_all,0.31266572034439966
|
12 |
+
11,610,CADD.LogisticRegression.chrom.subset_from_all,0.2451151461784538
|
13 |
+
12,510,CADD.LogisticRegression.chrom.subset_from_all,0.38605790885696845
|
14 |
+
13,190,CADD.LogisticRegression.chrom.subset_from_all,0.35349345579138297
|
15 |
+
14,340,CADD.LogisticRegression.chrom.subset_from_all,0.3015300224651223
|
16 |
+
15,390,CADD.LogisticRegression.chrom.subset_from_all,0.17849283922498754
|
17 |
+
16,550,CADD.LogisticRegression.chrom.subset_from_all,0.38317865743852725
|
18 |
+
17,530,CADD.LogisticRegression.chrom.subset_from_all,0.17841916786266027
|
19 |
+
18,260,CADD.LogisticRegression.chrom.subset_from_all,0.30705122937371804
|
20 |
+
19,460,CADD.LogisticRegression.chrom.subset_from_all,0.2660182045423029
|
21 |
+
20,460,CADD.LogisticRegression.chrom.subset_from_all,0.23048457555072527
|
22 |
+
21,110,CADD.LogisticRegression.chrom.subset_from_all,0.27877777275335347
|
23 |
+
22,260,CADD.LogisticRegression.chrom.subset_from_all,0.3005663215564722
|
complex_traits_matched_9/AUPRC_by_chrom/no_cadd_overlap/CADD.plus.RawScore.csv
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUPRC
|
2 |
+
1,830,CADD.plus.RawScore,0.24817302045502623
|
3 |
+
2,800,CADD.plus.RawScore,0.2448383287173504
|
4 |
+
3,590,CADD.plus.RawScore,0.2675244475040181
|
5 |
+
4,350,CADD.plus.RawScore,0.22819049338662972
|
6 |
+
5,390,CADD.plus.RawScore,0.21940603000837644
|
7 |
+
6,710,CADD.plus.RawScore,0.19104519016723423
|
8 |
+
7,490,CADD.plus.RawScore,0.2837826047704
|
9 |
+
8,390,CADD.plus.RawScore,0.19906163060737722
|
10 |
+
9,410,CADD.plus.RawScore,0.22223238034261114
|
11 |
+
10,470,CADD.plus.RawScore,0.3027860320943214
|
12 |
+
11,610,CADD.plus.RawScore,0.2122015863300278
|
13 |
+
12,510,CADD.plus.RawScore,0.27709129216353107
|
14 |
+
13,190,CADD.plus.RawScore,0.34869651306843147
|
15 |
+
14,340,CADD.plus.RawScore,0.2558262232765123
|
16 |
+
15,390,CADD.plus.RawScore,0.17299998697590066
|
17 |
+
16,550,CADD.plus.RawScore,0.34320513773922595
|
18 |
+
17,530,CADD.plus.RawScore,0.18000598677967372
|
19 |
+
18,260,CADD.plus.RawScore,0.3091598181662167
|
20 |
+
19,460,CADD.plus.RawScore,0.19984540730330871
|
21 |
+
20,460,CADD.plus.RawScore,0.2270042011764353
|
22 |
+
21,110,CADD.plus.RawScore,0.2309235118473018
|
23 |
+
22,260,CADD.plus.RawScore,0.25049158255849646
|
complex_traits_matched_9/AUPRC_by_chrom/no_cadd_overlap/Caduceus.LogisticRegression.chrom.subset_from_all.csv
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUPRC
|
2 |
+
1,830,Caduceus.LogisticRegression.chrom.subset_from_all,0.12768786861389958
|
3 |
+
2,800,Caduceus.LogisticRegression.chrom.subset_from_all,0.14291690228292506
|
4 |
+
3,590,Caduceus.LogisticRegression.chrom.subset_from_all,0.16147286576214281
|
5 |
+
4,350,Caduceus.LogisticRegression.chrom.subset_from_all,0.20511992190401618
|
6 |
+
5,390,Caduceus.LogisticRegression.chrom.subset_from_all,0.10527581825159452
|
7 |
+
6,710,Caduceus.LogisticRegression.chrom.subset_from_all,0.14461515675584014
|
8 |
+
7,490,Caduceus.LogisticRegression.chrom.subset_from_all,0.2149184409206361
|
9 |
+
8,390,Caduceus.LogisticRegression.chrom.subset_from_all,0.21071140461963733
|
10 |
+
9,410,Caduceus.LogisticRegression.chrom.subset_from_all,0.09785453679566938
|
11 |
+
10,470,Caduceus.LogisticRegression.chrom.subset_from_all,0.14812521906509052
|
12 |
+
11,610,Caduceus.LogisticRegression.chrom.subset_from_all,0.11559073624498917
|
13 |
+
12,510,Caduceus.LogisticRegression.chrom.subset_from_all,0.19153422696117536
|
14 |
+
13,190,Caduceus.LogisticRegression.chrom.subset_from_all,0.1623761899879177
|
15 |
+
14,340,Caduceus.LogisticRegression.chrom.subset_from_all,0.15649815670640382
|
16 |
+
15,390,Caduceus.LogisticRegression.chrom.subset_from_all,0.14860690939463833
|
17 |
+
16,550,Caduceus.LogisticRegression.chrom.subset_from_all,0.1173864863903779
|
18 |
+
17,530,Caduceus.LogisticRegression.chrom.subset_from_all,0.16551598046771518
|
19 |
+
18,260,Caduceus.LogisticRegression.chrom.subset_from_all,0.15192036550727828
|
20 |
+
19,460,Caduceus.LogisticRegression.chrom.subset_from_all,0.16532552782340976
|
21 |
+
20,460,Caduceus.LogisticRegression.chrom.subset_from_all,0.130414154716602
|
22 |
+
21,110,Caduceus.LogisticRegression.chrom.subset_from_all,0.17655592653805363
|
23 |
+
22,260,Caduceus.LogisticRegression.chrom.subset_from_all,0.2117834480399488
|
complex_traits_matched_9/AUPRC_by_chrom/no_cadd_overlap/Caduceus_Embeddings.minus.inner_product.csv
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUPRC
|
2 |
+
1,830,Caduceus_Embeddings.minus.inner_product,0.08986395526562546
|
3 |
+
2,800,Caduceus_Embeddings.minus.inner_product,0.11241543207168761
|
4 |
+
3,590,Caduceus_Embeddings.minus.inner_product,0.1247710010566834
|
5 |
+
4,350,Caduceus_Embeddings.minus.inner_product,0.11547324140191996
|
6 |
+
5,390,Caduceus_Embeddings.minus.inner_product,0.16974684914851423
|
7 |
+
6,710,Caduceus_Embeddings.minus.inner_product,0.13251416858028645
|
8 |
+
7,490,Caduceus_Embeddings.minus.inner_product,0.07684300192623231
|
9 |
+
8,390,Caduceus_Embeddings.minus.inner_product,0.11573370652807786
|
10 |
+
9,410,Caduceus_Embeddings.minus.inner_product,0.10422546469147957
|
11 |
+
10,470,Caduceus_Embeddings.minus.inner_product,0.08789755271267101
|
12 |
+
11,610,Caduceus_Embeddings.minus.inner_product,0.14940854694686995
|
13 |
+
12,510,Caduceus_Embeddings.minus.inner_product,0.17216757114074832
|
14 |
+
13,190,Caduceus_Embeddings.minus.inner_product,0.1754128637982437
|
15 |
+
14,340,Caduceus_Embeddings.minus.inner_product,0.10856264985113517
|
16 |
+
15,390,Caduceus_Embeddings.minus.inner_product,0.09041114516376765
|
17 |
+
16,550,Caduceus_Embeddings.minus.inner_product,0.10652881378065228
|
18 |
+
17,530,Caduceus_Embeddings.minus.inner_product,0.14538956877158843
|
19 |
+
18,260,Caduceus_Embeddings.minus.inner_product,0.13326483109360004
|
20 |
+
19,460,Caduceus_Embeddings.minus.inner_product,0.09103971995236351
|
21 |
+
20,460,Caduceus_Embeddings.minus.inner_product,0.11704126868310247
|
22 |
+
21,110,Caduceus_Embeddings.minus.inner_product,0.07958207328733509
|
23 |
+
22,260,Caduceus_Embeddings.minus.inner_product,0.08993769274443866
|
complex_traits_matched_9/AUPRC_by_chrom/no_cadd_overlap/Caduceus_Embeddings.plus.euclidean_distance.csv
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUPRC
|
2 |
+
1,830,Caduceus_Embeddings.plus.euclidean_distance,0.12254587262554043
|
3 |
+
2,800,Caduceus_Embeddings.plus.euclidean_distance,0.10828619015933655
|
4 |
+
3,590,Caduceus_Embeddings.plus.euclidean_distance,0.143285838024107
|
5 |
+
4,350,Caduceus_Embeddings.plus.euclidean_distance,0.10611664870015139
|
6 |
+
5,390,Caduceus_Embeddings.plus.euclidean_distance,0.1065199992323641
|
7 |
+
6,710,Caduceus_Embeddings.plus.euclidean_distance,0.09709935551796044
|
8 |
+
7,490,Caduceus_Embeddings.plus.euclidean_distance,0.11173865315197885
|
9 |
+
8,390,Caduceus_Embeddings.plus.euclidean_distance,0.1077525948163466
|
10 |
+
9,410,Caduceus_Embeddings.plus.euclidean_distance,0.08634643376670381
|
11 |
+
10,470,Caduceus_Embeddings.plus.euclidean_distance,0.10925633457371021
|
12 |
+
11,610,Caduceus_Embeddings.plus.euclidean_distance,0.10209624335955758
|
13 |
+
12,510,Caduceus_Embeddings.plus.euclidean_distance,0.108356608150446
|
14 |
+
13,190,Caduceus_Embeddings.plus.euclidean_distance,0.17675186303175416
|
15 |
+
14,340,Caduceus_Embeddings.plus.euclidean_distance,0.10920508825965003
|
16 |
+
15,390,Caduceus_Embeddings.plus.euclidean_distance,0.12393474704794183
|
17 |
+
16,550,Caduceus_Embeddings.plus.euclidean_distance,0.11574435736601918
|
18 |
+
17,530,Caduceus_Embeddings.plus.euclidean_distance,0.15653912508610368
|
19 |
+
18,260,Caduceus_Embeddings.plus.euclidean_distance,0.09144948911644277
|
20 |
+
19,460,Caduceus_Embeddings.plus.euclidean_distance,0.11980670028070092
|
21 |
+
20,460,Caduceus_Embeddings.plus.euclidean_distance,0.13681465186505218
|
22 |
+
21,110,Caduceus_Embeddings.plus.euclidean_distance,0.11062456640044269
|
23 |
+
22,260,Caduceus_Embeddings.plus.euclidean_distance,0.11469433833620415
|
complex_traits_matched_9/AUPRC_by_chrom/no_cadd_overlap/Enformer.LogisticRegression.chrom.subset_from_all.csv
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUPRC
|
2 |
+
1,830,Enformer.LogisticRegression.chrom.subset_from_all,0.31724703842676116
|
3 |
+
2,800,Enformer.LogisticRegression.chrom.subset_from_all,0.24952006898932855
|
4 |
+
3,590,Enformer.LogisticRegression.chrom.subset_from_all,0.2857331947419951
|
5 |
+
4,350,Enformer.LogisticRegression.chrom.subset_from_all,0.2823746045330162
|
6 |
+
5,390,Enformer.LogisticRegression.chrom.subset_from_all,0.3319097903053313
|
7 |
+
6,710,Enformer.LogisticRegression.chrom.subset_from_all,0.2572220363429801
|
8 |
+
7,490,Enformer.LogisticRegression.chrom.subset_from_all,0.3601863168618549
|
9 |
+
8,390,Enformer.LogisticRegression.chrom.subset_from_all,0.3632048290163543
|
10 |
+
9,410,Enformer.LogisticRegression.chrom.subset_from_all,0.266779557781067
|
11 |
+
10,470,Enformer.LogisticRegression.chrom.subset_from_all,0.28117129734012547
|
12 |
+
11,610,Enformer.LogisticRegression.chrom.subset_from_all,0.2971333300743728
|
13 |
+
12,510,Enformer.LogisticRegression.chrom.subset_from_all,0.36788850541715884
|
14 |
+
13,190,Enformer.LogisticRegression.chrom.subset_from_all,0.20719784943815914
|
15 |
+
14,340,Enformer.LogisticRegression.chrom.subset_from_all,0.2605764389086939
|
16 |
+
15,390,Enformer.LogisticRegression.chrom.subset_from_all,0.3031284007023935
|
17 |
+
16,550,Enformer.LogisticRegression.chrom.subset_from_all,0.3701674828996978
|
18 |
+
17,530,Enformer.LogisticRegression.chrom.subset_from_all,0.28655203679331687
|
19 |
+
18,260,Enformer.LogisticRegression.chrom.subset_from_all,0.30339644476975614
|
20 |
+
19,460,Enformer.LogisticRegression.chrom.subset_from_all,0.3118974869061181
|
21 |
+
20,460,Enformer.LogisticRegression.chrom.subset_from_all,0.19853696006667876
|
22 |
+
21,110,Enformer.LogisticRegression.chrom.subset_from_all,0.367808942824438
|
23 |
+
22,260,Enformer.LogisticRegression.chrom.subset_from_all,0.35423074919491937
|
complex_traits_matched_9/AUPRC_by_chrom/no_cadd_overlap/Enformer_L2_L2.plus.all.csv
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUPRC
|
2 |
+
1,830,Enformer_L2_L2.plus.all,0.23387662466078457
|
3 |
+
2,800,Enformer_L2_L2.plus.all,0.24738447989693158
|
4 |
+
3,590,Enformer_L2_L2.plus.all,0.2600300838555056
|
5 |
+
4,350,Enformer_L2_L2.plus.all,0.2615896631601239
|
6 |
+
5,390,Enformer_L2_L2.plus.all,0.289684601274959
|
7 |
+
6,710,Enformer_L2_L2.plus.all,0.16937600393089886
|
8 |
+
7,490,Enformer_L2_L2.plus.all,0.2737234418889194
|
9 |
+
8,390,Enformer_L2_L2.plus.all,0.2343524887652369
|
10 |
+
9,410,Enformer_L2_L2.plus.all,0.22837189110066536
|
11 |
+
10,470,Enformer_L2_L2.plus.all,0.2177700597559514
|
12 |
+
11,610,Enformer_L2_L2.plus.all,0.2238021276359748
|
13 |
+
12,510,Enformer_L2_L2.plus.all,0.25556524606741293
|
14 |
+
13,190,Enformer_L2_L2.plus.all,0.30872427744659614
|
15 |
+
14,340,Enformer_L2_L2.plus.all,0.25207022003067325
|
16 |
+
15,390,Enformer_L2_L2.plus.all,0.20299229780710365
|
17 |
+
16,550,Enformer_L2_L2.plus.all,0.26946076338355773
|
18 |
+
17,530,Enformer_L2_L2.plus.all,0.23521888845607739
|
19 |
+
18,260,Enformer_L2_L2.plus.all,0.2841727277331928
|
20 |
+
19,460,Enformer_L2_L2.plus.all,0.28668211328081245
|
21 |
+
20,460,Enformer_L2_L2.plus.all,0.17909587741260663
|
22 |
+
21,110,Enformer_L2_L2.plus.all,0.23078212609923182
|
23 |
+
22,260,Enformer_L2_L2.plus.all,0.33507970819251276
|
complex_traits_matched_9/AUPRC_by_chrom/no_cadd_overlap/GPN-MSA.LogisticRegression.chrom.subset_from_all.csv
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUPRC
|
2 |
+
1,830,GPN-MSA.LogisticRegression.chrom.subset_from_all,0.2296615320152764
|
3 |
+
2,800,GPN-MSA.LogisticRegression.chrom.subset_from_all,0.2726546917911791
|
4 |
+
3,590,GPN-MSA.LogisticRegression.chrom.subset_from_all,0.2274978596663335
|
5 |
+
4,350,GPN-MSA.LogisticRegression.chrom.subset_from_all,0.1963351680668289
|
6 |
+
5,390,GPN-MSA.LogisticRegression.chrom.subset_from_all,0.27327686603076284
|
7 |
+
6,710,GPN-MSA.LogisticRegression.chrom.subset_from_all,0.2592062917361191
|
8 |
+
7,490,GPN-MSA.LogisticRegression.chrom.subset_from_all,0.35324888432520274
|
9 |
+
8,390,GPN-MSA.LogisticRegression.chrom.subset_from_all,0.2957151132043984
|
10 |
+
9,410,GPN-MSA.LogisticRegression.chrom.subset_from_all,0.2732963645083227
|
11 |
+
10,470,GPN-MSA.LogisticRegression.chrom.subset_from_all,0.350714801613231
|
12 |
+
11,610,GPN-MSA.LogisticRegression.chrom.subset_from_all,0.21656868926815181
|
13 |
+
12,510,GPN-MSA.LogisticRegression.chrom.subset_from_all,0.30035143367339984
|
14 |
+
13,190,GPN-MSA.LogisticRegression.chrom.subset_from_all,0.3030125447929058
|
15 |
+
14,340,GPN-MSA.LogisticRegression.chrom.subset_from_all,0.3010894975948741
|
16 |
+
15,390,GPN-MSA.LogisticRegression.chrom.subset_from_all,0.19652091579757985
|
17 |
+
16,550,GPN-MSA.LogisticRegression.chrom.subset_from_all,0.361138353553068
|
18 |
+
17,530,GPN-MSA.LogisticRegression.chrom.subset_from_all,0.18677482420085217
|
19 |
+
18,260,GPN-MSA.LogisticRegression.chrom.subset_from_all,0.2904671802909623
|
20 |
+
19,460,GPN-MSA.LogisticRegression.chrom.subset_from_all,0.31093708727619157
|
21 |
+
20,460,GPN-MSA.LogisticRegression.chrom.subset_from_all,0.2095492410715131
|
22 |
+
21,110,GPN-MSA.LogisticRegression.chrom.subset_from_all,0.27889912995314836
|
23 |
+
22,260,GPN-MSA.LogisticRegression.chrom.subset_from_all,0.2381562247451084
|
complex_traits_matched_9/AUPRC_by_chrom/no_cadd_overlap/GPN-MSA_LLR.minus.score.csv
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUPRC
|
2 |
+
1,830,GPN-MSA_LLR.minus.score,0.20614387512395455
|
3 |
+
2,800,GPN-MSA_LLR.minus.score,0.1963052087855376
|
4 |
+
3,590,GPN-MSA_LLR.minus.score,0.19441801913987983
|
5 |
+
4,350,GPN-MSA_LLR.minus.score,0.13207264907788593
|
6 |
+
5,390,GPN-MSA_LLR.minus.score,0.2426671233590553
|
7 |
+
6,710,GPN-MSA_LLR.minus.score,0.1479684551629551
|
8 |
+
7,490,GPN-MSA_LLR.minus.score,0.22208179648485088
|
9 |
+
8,390,GPN-MSA_LLR.minus.score,0.18949568164110245
|
10 |
+
9,410,GPN-MSA_LLR.minus.score,0.2073002122012956
|
11 |
+
10,470,GPN-MSA_LLR.minus.score,0.2994725831465019
|
12 |
+
11,610,GPN-MSA_LLR.minus.score,0.19537947833467612
|
13 |
+
12,510,GPN-MSA_LLR.minus.score,0.23836746163946648
|
14 |
+
13,190,GPN-MSA_LLR.minus.score,0.22918587788116382
|
15 |
+
14,340,GPN-MSA_LLR.minus.score,0.23293991482424004
|
16 |
+
15,390,GPN-MSA_LLR.minus.score,0.14117737076990838
|
17 |
+
16,550,GPN-MSA_LLR.minus.score,0.25531423351125426
|
18 |
+
17,530,GPN-MSA_LLR.minus.score,0.15455185969349947
|
19 |
+
18,260,GPN-MSA_LLR.minus.score,0.3094383178650355
|
20 |
+
19,460,GPN-MSA_LLR.minus.score,0.20887745411882563
|
21 |
+
20,460,GPN-MSA_LLR.minus.score,0.14526572937958296
|
22 |
+
21,110,GPN-MSA_LLR.minus.score,0.2732842206526417
|
23 |
+
22,260,GPN-MSA_LLR.minus.score,0.18632758408289152
|
complex_traits_matched_9/AUPRC_by_chrom/no_cadd_overlap/GPN-MSA_absLLR.plus.score.csv
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUPRC
|
2 |
+
1,830,GPN-MSA_absLLR.plus.score,0.20627380625451058
|
3 |
+
2,800,GPN-MSA_absLLR.plus.score,0.20227570647470816
|
4 |
+
3,590,GPN-MSA_absLLR.plus.score,0.22687332089033765
|
5 |
+
4,350,GPN-MSA_absLLR.plus.score,0.17191163895026845
|
6 |
+
5,390,GPN-MSA_absLLR.plus.score,0.2483166999409641
|
7 |
+
6,710,GPN-MSA_absLLR.plus.score,0.16542472576265216
|
8 |
+
7,490,GPN-MSA_absLLR.plus.score,0.27803576308901395
|
9 |
+
8,390,GPN-MSA_absLLR.plus.score,0.21175650799626283
|
10 |
+
9,410,GPN-MSA_absLLR.plus.score,0.2783285650621901
|
11 |
+
10,470,GPN-MSA_absLLR.plus.score,0.29024580496995617
|
12 |
+
11,610,GPN-MSA_absLLR.plus.score,0.18004457300483495
|
13 |
+
12,510,GPN-MSA_absLLR.plus.score,0.23301126347357565
|
14 |
+
13,190,GPN-MSA_absLLR.plus.score,0.20661032260217532
|
15 |
+
14,340,GPN-MSA_absLLR.plus.score,0.25420586345011903
|
16 |
+
15,390,GPN-MSA_absLLR.plus.score,0.16907087620069683
|
17 |
+
16,550,GPN-MSA_absLLR.plus.score,0.2902181325808048
|
18 |
+
17,530,GPN-MSA_absLLR.plus.score,0.15917977214009243
|
19 |
+
18,260,GPN-MSA_absLLR.plus.score,0.26423125213409315
|
20 |
+
19,460,GPN-MSA_absLLR.plus.score,0.20111404332237814
|
21 |
+
20,460,GPN-MSA_absLLR.plus.score,0.2175149802459308
|
22 |
+
21,110,GPN-MSA_absLLR.plus.score,0.15549635655027447
|
23 |
+
22,260,GPN-MSA_absLLR.plus.score,0.22625426327187637
|
complex_traits_matched_9/AUPRC_by_chrom/no_cadd_overlap/GPN_final.LogisticRegression.chrom.subset_from_all.csv
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUPRC
|
2 |
+
1,830,GPN_final.LogisticRegression.chrom.subset_from_all,0.1844843795019428
|
3 |
+
2,800,GPN_final.LogisticRegression.chrom.subset_from_all,0.15042060885852812
|
4 |
+
3,590,GPN_final.LogisticRegression.chrom.subset_from_all,0.12827002001173582
|
5 |
+
4,350,GPN_final.LogisticRegression.chrom.subset_from_all,0.24782923388763406
|
6 |
+
5,390,GPN_final.LogisticRegression.chrom.subset_from_all,0.18952361060788991
|
7 |
+
6,710,GPN_final.LogisticRegression.chrom.subset_from_all,0.15548942030379848
|
8 |
+
7,490,GPN_final.LogisticRegression.chrom.subset_from_all,0.1834513982753565
|
9 |
+
8,390,GPN_final.LogisticRegression.chrom.subset_from_all,0.17925621277899034
|
10 |
+
9,410,GPN_final.LogisticRegression.chrom.subset_from_all,0.17779218822758452
|
11 |
+
10,470,GPN_final.LogisticRegression.chrom.subset_from_all,0.17925881656496384
|
12 |
+
11,610,GPN_final.LogisticRegression.chrom.subset_from_all,0.1812318191746971
|
13 |
+
12,510,GPN_final.LogisticRegression.chrom.subset_from_all,0.2010285651343146
|
14 |
+
13,190,GPN_final.LogisticRegression.chrom.subset_from_all,0.2209390191304338
|
15 |
+
14,340,GPN_final.LogisticRegression.chrom.subset_from_all,0.20420222505697885
|
16 |
+
15,390,GPN_final.LogisticRegression.chrom.subset_from_all,0.20908850637810206
|
17 |
+
16,550,GPN_final.LogisticRegression.chrom.subset_from_all,0.20447521159138693
|
18 |
+
17,530,GPN_final.LogisticRegression.chrom.subset_from_all,0.17822480998367493
|
19 |
+
18,260,GPN_final.LogisticRegression.chrom.subset_from_all,0.2770667152401605
|
20 |
+
19,460,GPN_final.LogisticRegression.chrom.subset_from_all,0.21340364293288838
|
21 |
+
20,460,GPN_final.LogisticRegression.chrom.subset_from_all,0.16402688368224433
|
22 |
+
21,110,GPN_final.LogisticRegression.chrom.subset_from_all,0.17430095614796498
|
23 |
+
22,260,GPN_final.LogisticRegression.chrom.subset_from_all,0.2107748568771051
|
complex_traits_matched_9/AUPRC_by_chrom/no_cadd_overlap/GPN_final_Embeddings.plus.euclidean_distance.csv
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUPRC
|
2 |
+
1,830,GPN_final_Embeddings.plus.euclidean_distance,0.10155173404310099
|
3 |
+
2,800,GPN_final_Embeddings.plus.euclidean_distance,0.11188483630583228
|
4 |
+
3,590,GPN_final_Embeddings.plus.euclidean_distance,0.14524548942628232
|
5 |
+
4,350,GPN_final_Embeddings.plus.euclidean_distance,0.13581803633390888
|
6 |
+
5,390,GPN_final_Embeddings.plus.euclidean_distance,0.11151029955094903
|
7 |
+
6,710,GPN_final_Embeddings.plus.euclidean_distance,0.10415464936276575
|
8 |
+
7,490,GPN_final_Embeddings.plus.euclidean_distance,0.12480342568085041
|
9 |
+
8,390,GPN_final_Embeddings.plus.euclidean_distance,0.11351147767291224
|
10 |
+
9,410,GPN_final_Embeddings.plus.euclidean_distance,0.11928424222340471
|
11 |
+
10,470,GPN_final_Embeddings.plus.euclidean_distance,0.12849046739071143
|
12 |
+
11,610,GPN_final_Embeddings.plus.euclidean_distance,0.110260294752035
|
13 |
+
12,510,GPN_final_Embeddings.plus.euclidean_distance,0.12652510142580564
|
14 |
+
13,190,GPN_final_Embeddings.plus.euclidean_distance,0.1000355686663017
|
15 |
+
14,340,GPN_final_Embeddings.plus.euclidean_distance,0.12998671340042292
|
16 |
+
15,390,GPN_final_Embeddings.plus.euclidean_distance,0.12940216528249754
|
17 |
+
16,550,GPN_final_Embeddings.plus.euclidean_distance,0.14812631002433474
|
18 |
+
17,530,GPN_final_Embeddings.plus.euclidean_distance,0.13144847006167104
|
19 |
+
18,260,GPN_final_Embeddings.plus.euclidean_distance,0.16166176186753167
|
20 |
+
19,460,GPN_final_Embeddings.plus.euclidean_distance,0.14378867849499638
|
21 |
+
20,460,GPN_final_Embeddings.plus.euclidean_distance,0.1393124528675081
|
22 |
+
21,110,GPN_final_Embeddings.plus.euclidean_distance,0.1759786035296721
|
23 |
+
22,260,GPN_final_Embeddings.plus.euclidean_distance,0.1533343304600632
|
complex_traits_matched_9/AUPRC_by_chrom/no_cadd_overlap/GPN_final_LLR.minus.score.csv
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUPRC
|
2 |
+
1,830,GPN_final_LLR.minus.score,0.09332766377805538
|
3 |
+
2,800,GPN_final_LLR.minus.score,0.09438806714687734
|
4 |
+
3,590,GPN_final_LLR.minus.score,0.13494136430523263
|
5 |
+
4,350,GPN_final_LLR.minus.score,0.10128447653027348
|
6 |
+
5,390,GPN_final_LLR.minus.score,0.10780893856363671
|
7 |
+
6,710,GPN_final_LLR.minus.score,0.11133557146918537
|
8 |
+
7,490,GPN_final_LLR.minus.score,0.11169727628328728
|
9 |
+
8,390,GPN_final_LLR.minus.score,0.09969239946632127
|
10 |
+
9,410,GPN_final_LLR.minus.score,0.10430445095869512
|
11 |
+
10,470,GPN_final_LLR.minus.score,0.11715130225130767
|
12 |
+
11,610,GPN_final_LLR.minus.score,0.10550449825557312
|
13 |
+
12,510,GPN_final_LLR.minus.score,0.1480048996282517
|
14 |
+
13,190,GPN_final_LLR.minus.score,0.09080125819854924
|
15 |
+
14,340,GPN_final_LLR.minus.score,0.12899979023835295
|
16 |
+
15,390,GPN_final_LLR.minus.score,0.14613595988038125
|
17 |
+
16,550,GPN_final_LLR.minus.score,0.10421304799898899
|
18 |
+
17,530,GPN_final_LLR.minus.score,0.1073658114195484
|
19 |
+
18,260,GPN_final_LLR.minus.score,0.11023458305178468
|
20 |
+
19,460,GPN_final_LLR.minus.score,0.11765596105321344
|
21 |
+
20,460,GPN_final_LLR.minus.score,0.10521919468222879
|
22 |
+
21,110,GPN_final_LLR.minus.score,0.11762897805502939
|
23 |
+
22,260,GPN_final_LLR.minus.score,0.11143340289526027
|
complex_traits_matched_9/AUPRC_by_chrom/no_cadd_overlap/GPN_final_absLLR.plus.score.csv
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUPRC
|
2 |
+
1,830,GPN_final_absLLR.plus.score,0.09102933796364879
|
3 |
+
2,800,GPN_final_absLLR.plus.score,0.08751053295150427
|
4 |
+
3,590,GPN_final_absLLR.plus.score,0.14370183361242872
|
5 |
+
4,350,GPN_final_absLLR.plus.score,0.113176026041863
|
6 |
+
5,390,GPN_final_absLLR.plus.score,0.09218870032038386
|
7 |
+
6,710,GPN_final_absLLR.plus.score,0.08399620147468649
|
8 |
+
7,490,GPN_final_absLLR.plus.score,0.12370186489912838
|
9 |
+
8,390,GPN_final_absLLR.plus.score,0.11014375041912663
|
10 |
+
9,410,GPN_final_absLLR.plus.score,0.08909670865602953
|
11 |
+
10,470,GPN_final_absLLR.plus.score,0.11630436877678094
|
12 |
+
11,610,GPN_final_absLLR.plus.score,0.11415441220640474
|
13 |
+
12,510,GPN_final_absLLR.plus.score,0.1490098343483623
|
14 |
+
13,190,GPN_final_absLLR.plus.score,0.08147678654615892
|
15 |
+
14,340,GPN_final_absLLR.plus.score,0.12156001352854577
|
16 |
+
15,390,GPN_final_absLLR.plus.score,0.12005607261682519
|
17 |
+
16,550,GPN_final_absLLR.plus.score,0.12223320676877229
|
18 |
+
17,530,GPN_final_absLLR.plus.score,0.10450734120536487
|
19 |
+
18,260,GPN_final_absLLR.plus.score,0.15668621808516175
|
20 |
+
19,460,GPN_final_absLLR.plus.score,0.14132590508283138
|
21 |
+
20,460,GPN_final_absLLR.plus.score,0.10253345380173434
|
22 |
+
21,110,GPN_final_absLLR.plus.score,0.12961420724064607
|
23 |
+
22,260,GPN_final_absLLR.plus.score,0.11294184664494959
|
complex_traits_matched_9/AUPRC_by_chrom/no_cadd_overlap/HyenaDNA.LogisticRegression.chrom.subset_from_all.csv
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUPRC
|
2 |
+
1,830,HyenaDNA.LogisticRegression.chrom.subset_from_all,0.09226251006422836
|
3 |
+
2,800,HyenaDNA.LogisticRegression.chrom.subset_from_all,0.11457520449896087
|
4 |
+
3,590,HyenaDNA.LogisticRegression.chrom.subset_from_all,0.12093363786989945
|
5 |
+
4,350,HyenaDNA.LogisticRegression.chrom.subset_from_all,0.11887780277048277
|
6 |
+
5,390,HyenaDNA.LogisticRegression.chrom.subset_from_all,0.09531723027440261
|
7 |
+
6,710,HyenaDNA.LogisticRegression.chrom.subset_from_all,0.13417771222930172
|
8 |
+
7,490,HyenaDNA.LogisticRegression.chrom.subset_from_all,0.13549255000270755
|
9 |
+
8,390,HyenaDNA.LogisticRegression.chrom.subset_from_all,0.15546565164602438
|
10 |
+
9,410,HyenaDNA.LogisticRegression.chrom.subset_from_all,0.08243494208431111
|
11 |
+
10,470,HyenaDNA.LogisticRegression.chrom.subset_from_all,0.1255168496752332
|
12 |
+
11,610,HyenaDNA.LogisticRegression.chrom.subset_from_all,0.13131896060868214
|
13 |
+
12,510,HyenaDNA.LogisticRegression.chrom.subset_from_all,0.18902241458482533
|
14 |
+
13,190,HyenaDNA.LogisticRegression.chrom.subset_from_all,0.10090030949371676
|
15 |
+
14,340,HyenaDNA.LogisticRegression.chrom.subset_from_all,0.25464867882099074
|
16 |
+
15,390,HyenaDNA.LogisticRegression.chrom.subset_from_all,0.11067721631420835
|
17 |
+
16,550,HyenaDNA.LogisticRegression.chrom.subset_from_all,0.1457658431576922
|
18 |
+
17,530,HyenaDNA.LogisticRegression.chrom.subset_from_all,0.1939607845732743
|
19 |
+
18,260,HyenaDNA.LogisticRegression.chrom.subset_from_all,0.13860268833394726
|
20 |
+
19,460,HyenaDNA.LogisticRegression.chrom.subset_from_all,0.1691773036559155
|
21 |
+
20,460,HyenaDNA.LogisticRegression.chrom.subset_from_all,0.12222632337133926
|
22 |
+
21,110,HyenaDNA.LogisticRegression.chrom.subset_from_all,0.10936234420145743
|
23 |
+
22,260,HyenaDNA.LogisticRegression.chrom.subset_from_all,0.10635957151664338
|
complex_traits_matched_9/AUPRC_by_chrom/no_cadd_overlap/HyenaDNA_Embeddings.minus.inner_product.csv
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUPRC
|
2 |
+
1,830,HyenaDNA_Embeddings.minus.inner_product,0.11155653893304068
|
3 |
+
2,800,HyenaDNA_Embeddings.minus.inner_product,0.10990070841033815
|
4 |
+
3,590,HyenaDNA_Embeddings.minus.inner_product,0.12465268106190473
|
5 |
+
4,350,HyenaDNA_Embeddings.minus.inner_product,0.1341232965211318
|
6 |
+
5,390,HyenaDNA_Embeddings.minus.inner_product,0.10388185029432209
|
7 |
+
6,710,HyenaDNA_Embeddings.minus.inner_product,0.11114972639363895
|
8 |
+
7,490,HyenaDNA_Embeddings.minus.inner_product,0.09796070210361055
|
9 |
+
8,390,HyenaDNA_Embeddings.minus.inner_product,0.17784160163502488
|
10 |
+
9,410,HyenaDNA_Embeddings.minus.inner_product,0.10967369525176378
|
11 |
+
10,470,HyenaDNA_Embeddings.minus.inner_product,0.10277753648133094
|
12 |
+
11,610,HyenaDNA_Embeddings.minus.inner_product,0.12873181541117462
|
13 |
+
12,510,HyenaDNA_Embeddings.minus.inner_product,0.11367506661344323
|
14 |
+
13,190,HyenaDNA_Embeddings.minus.inner_product,0.16929993383426173
|
15 |
+
14,340,HyenaDNA_Embeddings.minus.inner_product,0.15434159786026186
|
16 |
+
15,390,HyenaDNA_Embeddings.minus.inner_product,0.12568922970461183
|
17 |
+
16,550,HyenaDNA_Embeddings.minus.inner_product,0.09110251981637918
|
18 |
+
17,530,HyenaDNA_Embeddings.minus.inner_product,0.11769815071530777
|
19 |
+
18,260,HyenaDNA_Embeddings.minus.inner_product,0.11431801866410371
|
20 |
+
19,460,HyenaDNA_Embeddings.minus.inner_product,0.1193887556035221
|
21 |
+
20,460,HyenaDNA_Embeddings.minus.inner_product,0.10859901304932389
|
22 |
+
21,110,HyenaDNA_Embeddings.minus.inner_product,0.08272121833809458
|
23 |
+
22,260,HyenaDNA_Embeddings.minus.inner_product,0.12479518349589497
|
complex_traits_matched_9/AUPRC_by_chrom/no_cadd_overlap/NucleotideTransformer.LogisticRegression.chrom.subset_from_all.csv
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUPRC
|
2 |
+
1,830,NucleotideTransformer.LogisticRegression.chrom.subset_from_all,0.16647314569362273
|
3 |
+
2,800,NucleotideTransformer.LogisticRegression.chrom.subset_from_all,0.12956991621817354
|
4 |
+
3,590,NucleotideTransformer.LogisticRegression.chrom.subset_from_all,0.14894020407383593
|
5 |
+
4,350,NucleotideTransformer.LogisticRegression.chrom.subset_from_all,0.23819052108010033
|
6 |
+
5,390,NucleotideTransformer.LogisticRegression.chrom.subset_from_all,0.1289783048228361
|
7 |
+
6,710,NucleotideTransformer.LogisticRegression.chrom.subset_from_all,0.18381029052415365
|
8 |
+
7,490,NucleotideTransformer.LogisticRegression.chrom.subset_from_all,0.19150910206071603
|
9 |
+
8,390,NucleotideTransformer.LogisticRegression.chrom.subset_from_all,0.18236078442663872
|
10 |
+
9,410,NucleotideTransformer.LogisticRegression.chrom.subset_from_all,0.17842410101733064
|
11 |
+
10,470,NucleotideTransformer.LogisticRegression.chrom.subset_from_all,0.15408733824358667
|
12 |
+
11,610,NucleotideTransformer.LogisticRegression.chrom.subset_from_all,0.15456342594667247
|
13 |
+
12,510,NucleotideTransformer.LogisticRegression.chrom.subset_from_all,0.18938107889297817
|
14 |
+
13,190,NucleotideTransformer.LogisticRegression.chrom.subset_from_all,0.164579634870491
|
15 |
+
14,340,NucleotideTransformer.LogisticRegression.chrom.subset_from_all,0.17424166687175574
|
16 |
+
15,390,NucleotideTransformer.LogisticRegression.chrom.subset_from_all,0.2050217829858993
|
17 |
+
16,550,NucleotideTransformer.LogisticRegression.chrom.subset_from_all,0.15858664096515207
|
18 |
+
17,530,NucleotideTransformer.LogisticRegression.chrom.subset_from_all,0.154704345450987
|
19 |
+
18,260,NucleotideTransformer.LogisticRegression.chrom.subset_from_all,0.1111226584313076
|
20 |
+
19,460,NucleotideTransformer.LogisticRegression.chrom.subset_from_all,0.1591823320291776
|
21 |
+
20,460,NucleotideTransformer.LogisticRegression.chrom.subset_from_all,0.16565398427114314
|
22 |
+
21,110,NucleotideTransformer.LogisticRegression.chrom.subset_from_all,0.3226444184019704
|
23 |
+
22,260,NucleotideTransformer.LogisticRegression.chrom.subset_from_all,0.1507356226319463
|
complex_traits_matched_9/AUPRC_by_chrom/no_cadd_overlap/NucleotideTransformer_Embeddings.minus.inner_product.csv
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUPRC
|
2 |
+
1,830,NucleotideTransformer_Embeddings.minus.inner_product,0.10955593144436424
|
3 |
+
2,800,NucleotideTransformer_Embeddings.minus.inner_product,0.1136048716301295
|
4 |
+
3,590,NucleotideTransformer_Embeddings.minus.inner_product,0.1336677540516955
|
5 |
+
4,350,NucleotideTransformer_Embeddings.minus.inner_product,0.1281429079939157
|
6 |
+
5,390,NucleotideTransformer_Embeddings.minus.inner_product,0.13043754958323311
|
7 |
+
6,710,NucleotideTransformer_Embeddings.minus.inner_product,0.1283103074774966
|
8 |
+
7,490,NucleotideTransformer_Embeddings.minus.inner_product,0.138475219955232
|
9 |
+
8,390,NucleotideTransformer_Embeddings.minus.inner_product,0.1719528871204264
|
10 |
+
9,410,NucleotideTransformer_Embeddings.minus.inner_product,0.0928686441464858
|
11 |
+
10,470,NucleotideTransformer_Embeddings.minus.inner_product,0.13561784271396854
|
12 |
+
11,610,NucleotideTransformer_Embeddings.minus.inner_product,0.16168955233036325
|
13 |
+
12,510,NucleotideTransformer_Embeddings.minus.inner_product,0.1427917775231214
|
14 |
+
13,190,NucleotideTransformer_Embeddings.minus.inner_product,0.3175191910558173
|
15 |
+
14,340,NucleotideTransformer_Embeddings.minus.inner_product,0.14228123878760005
|
16 |
+
15,390,NucleotideTransformer_Embeddings.minus.inner_product,0.1155161210932963
|
17 |
+
16,550,NucleotideTransformer_Embeddings.minus.inner_product,0.16733056526040804
|
18 |
+
17,530,NucleotideTransformer_Embeddings.minus.inner_product,0.16836990195214405
|
19 |
+
18,260,NucleotideTransformer_Embeddings.minus.inner_product,0.15189017425310705
|
20 |
+
19,460,NucleotideTransformer_Embeddings.minus.inner_product,0.12783443330887212
|
21 |
+
20,460,NucleotideTransformer_Embeddings.minus.inner_product,0.16003740764188265
|
22 |
+
21,110,NucleotideTransformer_Embeddings.minus.inner_product,0.11191734273521806
|
23 |
+
22,260,NucleotideTransformer_Embeddings.minus.inner_product,0.13584163770655025
|
complex_traits_matched_9/AUPRC_by_chrom/no_cadd_overlap/NucleotideTransformer_Embeddings.plus.euclidean_distance.csv
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUPRC
|
2 |
+
1,830,NucleotideTransformer_Embeddings.plus.euclidean_distance,0.11127664667584938
|
3 |
+
2,800,NucleotideTransformer_Embeddings.plus.euclidean_distance,0.11319714584441992
|
4 |
+
3,590,NucleotideTransformer_Embeddings.plus.euclidean_distance,0.1309768830758845
|
5 |
+
4,350,NucleotideTransformer_Embeddings.plus.euclidean_distance,0.13354148538267227
|
6 |
+
5,390,NucleotideTransformer_Embeddings.plus.euclidean_distance,0.10714344790476381
|
7 |
+
6,710,NucleotideTransformer_Embeddings.plus.euclidean_distance,0.09367768805122068
|
8 |
+
7,490,NucleotideTransformer_Embeddings.plus.euclidean_distance,0.13538571534026192
|
9 |
+
8,390,NucleotideTransformer_Embeddings.plus.euclidean_distance,0.13258233008339562
|
10 |
+
9,410,NucleotideTransformer_Embeddings.plus.euclidean_distance,0.12506726914402688
|
11 |
+
10,470,NucleotideTransformer_Embeddings.plus.euclidean_distance,0.1738337928307028
|
12 |
+
11,610,NucleotideTransformer_Embeddings.plus.euclidean_distance,0.11278697241357406
|
13 |
+
12,510,NucleotideTransformer_Embeddings.plus.euclidean_distance,0.11259277006005686
|
14 |
+
13,190,NucleotideTransformer_Embeddings.plus.euclidean_distance,0.10109545244750641
|
15 |
+
14,340,NucleotideTransformer_Embeddings.plus.euclidean_distance,0.09542815886349552
|
16 |
+
15,390,NucleotideTransformer_Embeddings.plus.euclidean_distance,0.1360833768137366
|
17 |
+
16,550,NucleotideTransformer_Embeddings.plus.euclidean_distance,0.08879691058408996
|
18 |
+
17,530,NucleotideTransformer_Embeddings.plus.euclidean_distance,0.11325464545998368
|
19 |
+
18,260,NucleotideTransformer_Embeddings.plus.euclidean_distance,0.21303876246475856
|
20 |
+
19,460,NucleotideTransformer_Embeddings.plus.euclidean_distance,0.09241939337691502
|
21 |
+
20,460,NucleotideTransformer_Embeddings.plus.euclidean_distance,0.14312472903801138
|
22 |
+
21,110,NucleotideTransformer_Embeddings.plus.euclidean_distance,0.21599606321928222
|
23 |
+
22,260,NucleotideTransformer_Embeddings.plus.euclidean_distance,0.10232316408452215
|
complex_traits_matched_9/AUPRC_by_chrom/no_cadd_overlap/Sei.LogisticRegression.chrom.subset_from_all.csv
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUPRC
|
2 |
+
1,830,Sei.LogisticRegression.chrom.subset_from_all,0.17270466477128824
|
3 |
+
2,800,Sei.LogisticRegression.chrom.subset_from_all,0.20067515244864348
|
4 |
+
3,590,Sei.LogisticRegression.chrom.subset_from_all,0.16139763605782437
|
5 |
+
4,350,Sei.LogisticRegression.chrom.subset_from_all,0.22098134507071318
|
6 |
+
5,390,Sei.LogisticRegression.chrom.subset_from_all,0.17993193133686985
|
7 |
+
6,710,Sei.LogisticRegression.chrom.subset_from_all,0.14772550325317113
|
8 |
+
7,490,Sei.LogisticRegression.chrom.subset_from_all,0.18779590540213909
|
9 |
+
8,390,Sei.LogisticRegression.chrom.subset_from_all,0.1388095796489882
|
10 |
+
9,410,Sei.LogisticRegression.chrom.subset_from_all,0.16852952320988807
|
11 |
+
10,470,Sei.LogisticRegression.chrom.subset_from_all,0.21541491003274219
|
12 |
+
11,610,Sei.LogisticRegression.chrom.subset_from_all,0.14220085607517724
|
13 |
+
12,510,Sei.LogisticRegression.chrom.subset_from_all,0.19415395547627556
|
14 |
+
13,190,Sei.LogisticRegression.chrom.subset_from_all,0.3324665628571818
|
15 |
+
14,340,Sei.LogisticRegression.chrom.subset_from_all,0.21361097650786237
|
16 |
+
15,390,Sei.LogisticRegression.chrom.subset_from_all,0.18570337236646278
|
17 |
+
16,550,Sei.LogisticRegression.chrom.subset_from_all,0.2107747746808281
|
18 |
+
17,530,Sei.LogisticRegression.chrom.subset_from_all,0.12062870880013163
|
19 |
+
18,260,Sei.LogisticRegression.chrom.subset_from_all,0.24443433737023604
|
20 |
+
19,460,Sei.LogisticRegression.chrom.subset_from_all,0.17716182640395306
|
21 |
+
20,460,Sei.LogisticRegression.chrom.subset_from_all,0.12730428214649503
|
22 |
+
21,110,Sei.LogisticRegression.chrom.subset_from_all,0.2868059768422745
|
23 |
+
22,260,Sei.LogisticRegression.chrom.subset_from_all,0.329592586152474
|
complex_traits_matched_9/AUPRC_by_chrom/no_cadd_overlap/Sei.plus.seqclass_max_absdiff.csv
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUPRC
|
2 |
+
1,830,Sei.plus.seqclass_max_absdiff,0.19043319174434237
|
3 |
+
2,800,Sei.plus.seqclass_max_absdiff,0.2018560424823279
|
4 |
+
3,590,Sei.plus.seqclass_max_absdiff,0.17976370596686136
|
5 |
+
4,350,Sei.plus.seqclass_max_absdiff,0.2612545607178006
|
6 |
+
5,390,Sei.plus.seqclass_max_absdiff,0.23417858251453447
|
7 |
+
6,710,Sei.plus.seqclass_max_absdiff,0.1439318549567867
|
8 |
+
7,490,Sei.plus.seqclass_max_absdiff,0.21175143260039023
|
9 |
+
8,390,Sei.plus.seqclass_max_absdiff,0.1475706299723619
|
10 |
+
9,410,Sei.plus.seqclass_max_absdiff,0.17037965202001434
|
11 |
+
10,470,Sei.plus.seqclass_max_absdiff,0.20175787925274585
|
12 |
+
11,610,Sei.plus.seqclass_max_absdiff,0.1688675184075084
|
13 |
+
12,510,Sei.plus.seqclass_max_absdiff,0.19930421428770478
|
14 |
+
13,190,Sei.plus.seqclass_max_absdiff,0.33090222543422776
|
15 |
+
14,340,Sei.plus.seqclass_max_absdiff,0.20261402547917315
|
16 |
+
15,390,Sei.plus.seqclass_max_absdiff,0.209329252490387
|
17 |
+
16,550,Sei.plus.seqclass_max_absdiff,0.20742583317889468
|
18 |
+
17,530,Sei.plus.seqclass_max_absdiff,0.11851721466465413
|
19 |
+
18,260,Sei.plus.seqclass_max_absdiff,0.2412553916297386
|
20 |
+
19,460,Sei.plus.seqclass_max_absdiff,0.16979381945102737
|
21 |
+
20,460,Sei.plus.seqclass_max_absdiff,0.1436809611677438
|
22 |
+
21,110,Sei.plus.seqclass_max_absdiff,0.2913699652712499
|
23 |
+
22,260,Sei.plus.seqclass_max_absdiff,0.32441264997054464
|
complex_traits_matched_9/AUPRC_by_chrom/no_eqtl_overlap/Borzoi.LogisticRegression.chrom.subset_from_all.csv
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUPRC
|
2 |
+
1,840,Borzoi.LogisticRegression.chrom.subset_from_all,0.27570960430610597
|
3 |
+
2,830,Borzoi.LogisticRegression.chrom.subset_from_all,0.22221586550252279
|
4 |
+
3,620,Borzoi.LogisticRegression.chrom.subset_from_all,0.26998624486946865
|
5 |
+
4,370,Borzoi.LogisticRegression.chrom.subset_from_all,0.2700226492925817
|
6 |
+
5,450,Borzoi.LogisticRegression.chrom.subset_from_all,0.27881655968570473
|
7 |
+
6,740,Borzoi.LogisticRegression.chrom.subset_from_all,0.18485289974065
|
8 |
+
7,470,Borzoi.LogisticRegression.chrom.subset_from_all,0.37154254638384954
|
9 |
+
8,440,Borzoi.LogisticRegression.chrom.subset_from_all,0.25088045644847357
|
10 |
+
9,400,Borzoi.LogisticRegression.chrom.subset_from_all,0.2663724199324347
|
11 |
+
10,480,Borzoi.LogisticRegression.chrom.subset_from_all,0.3352472239455365
|
12 |
+
11,640,Borzoi.LogisticRegression.chrom.subset_from_all,0.2555894989201887
|
13 |
+
12,540,Borzoi.LogisticRegression.chrom.subset_from_all,0.3681797873662092
|
14 |
+
13,170,Borzoi.LogisticRegression.chrom.subset_from_all,0.19617484161579057
|
15 |
+
14,310,Borzoi.LogisticRegression.chrom.subset_from_all,0.17969284585762235
|
16 |
+
15,370,Borzoi.LogisticRegression.chrom.subset_from_all,0.35374577142496444
|
17 |
+
16,530,Borzoi.LogisticRegression.chrom.subset_from_all,0.32509111247468664
|
18 |
+
17,500,Borzoi.LogisticRegression.chrom.subset_from_all,0.3428879394783027
|
19 |
+
18,260,Borzoi.LogisticRegression.chrom.subset_from_all,0.2617481091756252
|
20 |
+
19,520,Borzoi.LogisticRegression.chrom.subset_from_all,0.32077701166604267
|
21 |
+
20,510,Borzoi.LogisticRegression.chrom.subset_from_all,0.2043290566548771
|
22 |
+
21,140,Borzoi.LogisticRegression.chrom.subset_from_all,0.4834396287349453
|
23 |
+
22,240,Borzoi.LogisticRegression.chrom.subset_from_all,0.31820428460811506
|
complex_traits_matched_9/AUPRC_by_chrom/no_eqtl_overlap/Borzoi_L2_L2.plus.all.csv
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUPRC
|
2 |
+
1,840,Borzoi_L2_L2.plus.all,0.17750524309421056
|
3 |
+
2,830,Borzoi_L2_L2.plus.all,0.1868461280465924
|
4 |
+
3,620,Borzoi_L2_L2.plus.all,0.21221536711388392
|
5 |
+
4,370,Borzoi_L2_L2.plus.all,0.22212080232310732
|
6 |
+
5,450,Borzoi_L2_L2.plus.all,0.23331789035452907
|
7 |
+
6,740,Borzoi_L2_L2.plus.all,0.13893573288065292
|
8 |
+
7,470,Borzoi_L2_L2.plus.all,0.26162712826370715
|
9 |
+
8,440,Borzoi_L2_L2.plus.all,0.21160561758042967
|
10 |
+
9,400,Borzoi_L2_L2.plus.all,0.18349681957051614
|
11 |
+
10,480,Borzoi_L2_L2.plus.all,0.16801698784097213
|
12 |
+
11,640,Borzoi_L2_L2.plus.all,0.20577142888127134
|
13 |
+
12,540,Borzoi_L2_L2.plus.all,0.2797328908786028
|
14 |
+
13,170,Borzoi_L2_L2.plus.all,0.31698693654188925
|
15 |
+
14,310,Borzoi_L2_L2.plus.all,0.16331534123326438
|
16 |
+
15,370,Borzoi_L2_L2.plus.all,0.19396688659658867
|
17 |
+
16,530,Borzoi_L2_L2.plus.all,0.23867684354660088
|
18 |
+
17,500,Borzoi_L2_L2.plus.all,0.24069232893154668
|
19 |
+
18,260,Borzoi_L2_L2.plus.all,0.2082910269027229
|
20 |
+
19,520,Borzoi_L2_L2.plus.all,0.25706504933639307
|
21 |
+
20,510,Borzoi_L2_L2.plus.all,0.19310383359859373
|
22 |
+
21,140,Borzoi_L2_L2.plus.all,0.3409323336713239
|
23 |
+
22,240,Borzoi_L2_L2.plus.all,0.33128807234551827
|
complex_traits_matched_9/AUPRC_by_chrom/no_eqtl_overlap/CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.subset_from_all.csv
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUPRC
|
2 |
+
1,840,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.subset_from_all,0.34559476459375243
|
3 |
+
2,830,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.subset_from_all,0.31173042703635884
|
4 |
+
3,620,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.subset_from_all,0.3258679224183638
|
5 |
+
4,370,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.subset_from_all,0.26083478639185675
|
6 |
+
5,450,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.subset_from_all,0.31124137944989483
|
7 |
+
6,740,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.subset_from_all,0.2781804854376463
|
8 |
+
7,470,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.subset_from_all,0.46465094029083537
|
9 |
+
8,440,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.subset_from_all,0.3226572821093142
|
10 |
+
9,400,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.subset_from_all,0.34949845437125654
|
11 |
+
10,480,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.subset_from_all,0.4385365568431714
|
12 |
+
11,640,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.subset_from_all,0.28377275803747426
|
13 |
+
12,540,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.subset_from_all,0.440031584985096
|
14 |
+
13,170,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.subset_from_all,0.3068409504167039
|
15 |
+
14,310,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.subset_from_all,0.3058447385715191
|
16 |
+
15,370,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.subset_from_all,0.34706222141140547
|
17 |
+
16,530,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.subset_from_all,0.49183884255899457
|
18 |
+
17,500,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.subset_from_all,0.38269482862919446
|
19 |
+
18,260,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.subset_from_all,0.35312726236700154
|
20 |
+
19,520,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.subset_from_all,0.4007148917401256
|
21 |
+
20,510,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.subset_from_all,0.27270088997142516
|
22 |
+
21,140,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.subset_from_all,0.4753160009371189
|
23 |
+
22,240,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.subset_from_all,0.37418914207382215
|
complex_traits_matched_9/AUPRC_by_chrom/no_eqtl_overlap/CADD.LogisticRegression.chrom.subset_from_all.csv
ADDED
@@ -0,0 +1,23 @@
|
|
|
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|
|
|
|
|
|
|
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|
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|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUPRC
|
2 |
+
1,840,CADD.LogisticRegression.chrom.subset_from_all,0.24070525335292153
|
3 |
+
2,830,CADD.LogisticRegression.chrom.subset_from_all,0.2631490133777026
|
4 |
+
3,620,CADD.LogisticRegression.chrom.subset_from_all,0.2933564907038184
|
5 |
+
4,370,CADD.LogisticRegression.chrom.subset_from_all,0.2149044384821274
|
6 |
+
5,450,CADD.LogisticRegression.chrom.subset_from_all,0.24053332048497122
|
7 |
+
6,740,CADD.LogisticRegression.chrom.subset_from_all,0.2582409039190898
|
8 |
+
7,470,CADD.LogisticRegression.chrom.subset_from_all,0.34193613457279015
|
9 |
+
8,440,CADD.LogisticRegression.chrom.subset_from_all,0.26552646848629013
|
10 |
+
9,400,CADD.LogisticRegression.chrom.subset_from_all,0.32530620414421946
|
11 |
+
10,480,CADD.LogisticRegression.chrom.subset_from_all,0.32042018785023185
|
12 |
+
11,640,CADD.LogisticRegression.chrom.subset_from_all,0.2287174355769736
|
13 |
+
12,540,CADD.LogisticRegression.chrom.subset_from_all,0.40481888533129
|
14 |
+
13,170,CADD.LogisticRegression.chrom.subset_from_all,0.3882522515474738
|
15 |
+
14,310,CADD.LogisticRegression.chrom.subset_from_all,0.3588228503504209
|
16 |
+
15,370,CADD.LogisticRegression.chrom.subset_from_all,0.17626423667868246
|
17 |
+
16,530,CADD.LogisticRegression.chrom.subset_from_all,0.3837895344178202
|
18 |
+
17,500,CADD.LogisticRegression.chrom.subset_from_all,0.2075718234300427
|
19 |
+
18,260,CADD.LogisticRegression.chrom.subset_from_all,0.3847585447416015
|
20 |
+
19,520,CADD.LogisticRegression.chrom.subset_from_all,0.2642497777057102
|
21 |
+
20,510,CADD.LogisticRegression.chrom.subset_from_all,0.27807885911407837
|
22 |
+
21,140,CADD.LogisticRegression.chrom.subset_from_all,0.2751542356333478
|
23 |
+
22,240,CADD.LogisticRegression.chrom.subset_from_all,0.25316649032648125
|
complex_traits_matched_9/AUPRC_by_chrom/no_eqtl_overlap/CADD.plus.RawScore.csv
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUPRC
|
2 |
+
1,840,CADD.plus.RawScore,0.20153180515598562
|
3 |
+
2,830,CADD.plus.RawScore,0.2661368860105597
|
4 |
+
3,620,CADD.plus.RawScore,0.26487922938968905
|
5 |
+
4,370,CADD.plus.RawScore,0.2240513277252361
|
6 |
+
5,450,CADD.plus.RawScore,0.23623131364768998
|
7 |
+
6,740,CADD.plus.RawScore,0.1949818832184501
|
8 |
+
7,470,CADD.plus.RawScore,0.27883056739002454
|
9 |
+
8,440,CADD.plus.RawScore,0.20074923473628375
|
10 |
+
9,400,CADD.plus.RawScore,0.2181200419275754
|
11 |
+
10,480,CADD.plus.RawScore,0.3018678261197926
|
12 |
+
11,640,CADD.plus.RawScore,0.20389189889359982
|
13 |
+
12,540,CADD.plus.RawScore,0.3063903194085259
|
14 |
+
13,170,CADD.plus.RawScore,0.37315887582293694
|
15 |
+
14,310,CADD.plus.RawScore,0.27872423704245114
|
16 |
+
15,370,CADD.plus.RawScore,0.16773629093780468
|
17 |
+
16,530,CADD.plus.RawScore,0.3450712352837335
|
18 |
+
17,500,CADD.plus.RawScore,0.1908629171819887
|
19 |
+
18,260,CADD.plus.RawScore,0.35188249578697267
|
20 |
+
19,520,CADD.plus.RawScore,0.18450431444611304
|
21 |
+
20,510,CADD.plus.RawScore,0.28678508674646264
|
22 |
+
21,140,CADD.plus.RawScore,0.19520299458487064
|
23 |
+
22,240,CADD.plus.RawScore,0.21215190546198606
|
complex_traits_matched_9/AUPRC_by_chrom/no_eqtl_overlap/GPN-MSA.LogisticRegression.chrom.subset_from_all.csv
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUPRC
|
2 |
+
1,840,GPN-MSA.LogisticRegression.chrom.subset_from_all,0.21390644586589733
|
3 |
+
2,830,GPN-MSA.LogisticRegression.chrom.subset_from_all,0.2848201402712464
|
4 |
+
3,620,GPN-MSA.LogisticRegression.chrom.subset_from_all,0.23225982496058506
|
5 |
+
4,370,GPN-MSA.LogisticRegression.chrom.subset_from_all,0.17527669042991517
|
6 |
+
5,450,GPN-MSA.LogisticRegression.chrom.subset_from_all,0.25795523115523084
|
7 |
+
6,740,GPN-MSA.LogisticRegression.chrom.subset_from_all,0.26214982846576457
|
8 |
+
7,470,GPN-MSA.LogisticRegression.chrom.subset_from_all,0.34177119972868947
|
9 |
+
8,440,GPN-MSA.LogisticRegression.chrom.subset_from_all,0.33092613578634716
|
10 |
+
9,400,GPN-MSA.LogisticRegression.chrom.subset_from_all,0.27223851629344653
|
11 |
+
10,480,GPN-MSA.LogisticRegression.chrom.subset_from_all,0.34769723215507403
|
12 |
+
11,640,GPN-MSA.LogisticRegression.chrom.subset_from_all,0.20192069268448937
|
13 |
+
12,540,GPN-MSA.LogisticRegression.chrom.subset_from_all,0.30299401139468696
|
14 |
+
13,170,GPN-MSA.LogisticRegression.chrom.subset_from_all,0.35691689660099285
|
15 |
+
14,310,GPN-MSA.LogisticRegression.chrom.subset_from_all,0.30334728962781915
|
16 |
+
15,370,GPN-MSA.LogisticRegression.chrom.subset_from_all,0.19665845725148606
|
17 |
+
16,530,GPN-MSA.LogisticRegression.chrom.subset_from_all,0.39769196053763767
|
18 |
+
17,500,GPN-MSA.LogisticRegression.chrom.subset_from_all,0.21739538499394828
|
19 |
+
18,260,GPN-MSA.LogisticRegression.chrom.subset_from_all,0.31112522540380816
|
20 |
+
19,520,GPN-MSA.LogisticRegression.chrom.subset_from_all,0.3207236043166634
|
21 |
+
20,510,GPN-MSA.LogisticRegression.chrom.subset_from_all,0.2639645562754253
|
22 |
+
21,140,GPN-MSA.LogisticRegression.chrom.subset_from_all,0.18212577499958077
|
23 |
+
22,240,GPN-MSA.LogisticRegression.chrom.subset_from_all,0.24323117099087477
|
complex_traits_matched_9/AUPRC_by_chrom/no_eqtl_overlap/GPN-MSA_absLLR.plus.score.csv
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUPRC
|
2 |
+
1,840,GPN-MSA_absLLR.plus.score,0.17503748985283027
|
3 |
+
2,830,GPN-MSA_absLLR.plus.score,0.209312642580971
|
4 |
+
3,620,GPN-MSA_absLLR.plus.score,0.22956030007588707
|
5 |
+
4,370,GPN-MSA_absLLR.plus.score,0.17035329244197533
|
6 |
+
5,450,GPN-MSA_absLLR.plus.score,0.2319370012914796
|
7 |
+
6,740,GPN-MSA_absLLR.plus.score,0.1628523772175591
|
8 |
+
7,470,GPN-MSA_absLLR.plus.score,0.24058173661844684
|
9 |
+
8,440,GPN-MSA_absLLR.plus.score,0.23861338198442852
|
10 |
+
9,400,GPN-MSA_absLLR.plus.score,0.26135609509703606
|
11 |
+
10,480,GPN-MSA_absLLR.plus.score,0.29690744914113065
|
12 |
+
11,640,GPN-MSA_absLLR.plus.score,0.16531977635167483
|
13 |
+
12,540,GPN-MSA_absLLR.plus.score,0.2502892258114139
|
14 |
+
13,170,GPN-MSA_absLLR.plus.score,0.23453908932395617
|
15 |
+
14,310,GPN-MSA_absLLR.plus.score,0.2260964387755349
|
16 |
+
15,370,GPN-MSA_absLLR.plus.score,0.17703078956101825
|
17 |
+
16,530,GPN-MSA_absLLR.plus.score,0.31775494063748816
|
18 |
+
17,500,GPN-MSA_absLLR.plus.score,0.1679383593604931
|
19 |
+
18,260,GPN-MSA_absLLR.plus.score,0.24356323849298095
|
20 |
+
19,520,GPN-MSA_absLLR.plus.score,0.1770825201545339
|
21 |
+
20,510,GPN-MSA_absLLR.plus.score,0.258606522705147
|
22 |
+
21,140,GPN-MSA_absLLR.plus.score,0.13870280596605528
|
23 |
+
22,240,GPN-MSA_absLLR.plus.score,0.21193670913379026
|
complex_traits_matched_9/AUPRC_by_chrom/non_coding_transcript_exon_variant/GPN_final.LogisticRegression.chrom.subset_from_all.csv
ADDED
@@ -0,0 +1,19 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUPRC
|
2 |
+
1,80,GPN_final.LogisticRegression.chrom.subset_from_all,0.12703617617356242
|
3 |
+
2,50,GPN_final.LogisticRegression.chrom.subset_from_all,0.46227106227106224
|
4 |
+
3,20,GPN_final.LogisticRegression.chrom.subset_from_all,0.29166666666666663
|
5 |
+
4,10,GPN_final.LogisticRegression.chrom.subset_from_all,1.0
|
6 |
+
5,40,GPN_final.LogisticRegression.chrom.subset_from_all,0.26493055555555556
|
7 |
+
6,80,GPN_final.LogisticRegression.chrom.subset_from_all,0.11880393951332166
|
8 |
+
8,40,GPN_final.LogisticRegression.chrom.subset_from_all,0.09784248010054461
|
9 |
+
9,30,GPN_final.LogisticRegression.chrom.subset_from_all,0.18518518518518517
|
10 |
+
10,20,GPN_final.LogisticRegression.chrom.subset_from_all,0.2222222222222222
|
11 |
+
11,70,GPN_final.LogisticRegression.chrom.subset_from_all,0.1957160826347313
|
12 |
+
12,40,GPN_final.LogisticRegression.chrom.subset_from_all,0.4412878787878788
|
13 |
+
14,30,GPN_final.LogisticRegression.chrom.subset_from_all,0.2437037037037037
|
14 |
+
15,30,GPN_final.LogisticRegression.chrom.subset_from_all,0.7
|
15 |
+
16,40,GPN_final.LogisticRegression.chrom.subset_from_all,0.27912087912087913
|
16 |
+
17,30,GPN_final.LogisticRegression.chrom.subset_from_all,0.1600877192982456
|
17 |
+
18,10,GPN_final.LogisticRegression.chrom.subset_from_all,1.0
|
18 |
+
19,30,GPN_final.LogisticRegression.chrom.subset_from_all,0.4343434343434343
|
19 |
+
20,40,GPN_final.LogisticRegression.chrom.subset_from_all,0.4353864734299517
|
complex_traits_matched_9/AUPRC_by_chrom/non_coding_transcript_exon_variant/GPN_final_Embeddings.plus.euclidean_distance.csv
ADDED
@@ -0,0 +1,19 @@
|
|
|
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|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUPRC
|
2 |
+
1,80,GPN_final_Embeddings.plus.euclidean_distance,0.13797003924177326
|
3 |
+
2,50,GPN_final_Embeddings.plus.euclidean_distance,0.09868348111374341
|
4 |
+
3,20,GPN_final_Embeddings.plus.euclidean_distance,0.3611111111111111
|
5 |
+
4,10,GPN_final_Embeddings.plus.euclidean_distance,0.125
|
6 |
+
5,40,GPN_final_Embeddings.plus.euclidean_distance,0.10965686274509803
|
7 |
+
6,80,GPN_final_Embeddings.plus.euclidean_distance,0.13036775629834335
|
8 |
+
8,40,GPN_final_Embeddings.plus.euclidean_distance,0.1309655257023678
|
9 |
+
9,30,GPN_final_Embeddings.plus.euclidean_distance,0.19365079365079366
|
10 |
+
10,20,GPN_final_Embeddings.plus.euclidean_distance,0.21666666666666667
|
11 |
+
11,70,GPN_final_Embeddings.plus.euclidean_distance,0.151261139138314
|
12 |
+
12,40,GPN_final_Embeddings.plus.euclidean_distance,0.33208333333333334
|
13 |
+
14,30,GPN_final_Embeddings.plus.euclidean_distance,0.1619981325863679
|
14 |
+
15,30,GPN_final_Embeddings.plus.euclidean_distance,0.15604575163398693
|
15 |
+
16,40,GPN_final_Embeddings.plus.euclidean_distance,0.2875
|
16 |
+
17,30,GPN_final_Embeddings.plus.euclidean_distance,0.102816091954023
|
17 |
+
18,10,GPN_final_Embeddings.plus.euclidean_distance,0.1
|
18 |
+
19,30,GPN_final_Embeddings.plus.euclidean_distance,0.121256038647343
|
19 |
+
20,40,GPN_final_Embeddings.plus.euclidean_distance,0.16538909599254425
|
complex_traits_matched_9/AUPRC_by_chrom/nonexonic_AND_proximal/GPN_final.LogisticRegression.chrom.subset_from_all.csv
ADDED
@@ -0,0 +1,21 @@
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUPRC
|
2 |
+
1,80,GPN_final.LogisticRegression.chrom.subset_from_all,0.2590476190476191
|
3 |
+
11,60,GPN_final.LogisticRegression.chrom.subset_from_all,0.17107160705361604
|
4 |
+
12,40,GPN_final.LogisticRegression.chrom.subset_from_all,0.11039790350135177
|
5 |
+
14,80,GPN_final.LogisticRegression.chrom.subset_from_all,0.27690969911014707
|
6 |
+
15,40,GPN_final.LogisticRegression.chrom.subset_from_all,0.3337333718912666
|
7 |
+
16,70,GPN_final.LogisticRegression.chrom.subset_from_all,0.27040182040182037
|
8 |
+
17,90,GPN_final.LogisticRegression.chrom.subset_from_all,0.2690593030042929
|
9 |
+
18,20,GPN_final.LogisticRegression.chrom.subset_from_all,0.6666666666666666
|
10 |
+
19,50,GPN_final.LogisticRegression.chrom.subset_from_all,0.2608065847196282
|
11 |
+
2,100,GPN_final.LogisticRegression.chrom.subset_from_all,0.15463733445854874
|
12 |
+
20,50,GPN_final.LogisticRegression.chrom.subset_from_all,0.33275560224089634
|
13 |
+
21,20,GPN_final.LogisticRegression.chrom.subset_from_all,0.225
|
14 |
+
22,30,GPN_final.LogisticRegression.chrom.subset_from_all,0.17990430622009568
|
15 |
+
3,50,GPN_final.LogisticRegression.chrom.subset_from_all,0.14498168498168498
|
16 |
+
4,50,GPN_final.LogisticRegression.chrom.subset_from_all,0.2992172930402169
|
17 |
+
5,40,GPN_final.LogisticRegression.chrom.subset_from_all,0.4523809523809524
|
18 |
+
6,80,GPN_final.LogisticRegression.chrom.subset_from_all,0.19351814851814853
|
19 |
+
7,30,GPN_final.LogisticRegression.chrom.subset_from_all,0.3207282913165266
|
20 |
+
8,40,GPN_final.LogisticRegression.chrom.subset_from_all,0.1472196594010687
|
21 |
+
9,30,GPN_final.LogisticRegression.chrom.subset_from_all,0.23660130718954248
|
complex_traits_matched_9/AUPRC_by_chrom/nonexonic_AND_proximal/GPN_final_Embeddings.plus.euclidean_distance.csv
ADDED
@@ -0,0 +1,21 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUPRC
|
2 |
+
1,80,GPN_final_Embeddings.plus.euclidean_distance,0.1262990615461897
|
3 |
+
11,60,GPN_final_Embeddings.plus.euclidean_distance,0.1884025895814514
|
4 |
+
12,40,GPN_final_Embeddings.plus.euclidean_distance,0.4737554112554112
|
5 |
+
14,80,GPN_final_Embeddings.plus.euclidean_distance,0.2890283501008526
|
6 |
+
15,40,GPN_final_Embeddings.plus.euclidean_distance,0.14750531726338179
|
7 |
+
16,70,GPN_final_Embeddings.plus.euclidean_distance,0.23024450887074194
|
8 |
+
17,90,GPN_final_Embeddings.plus.euclidean_distance,0.1611313441773212
|
9 |
+
18,20,GPN_final_Embeddings.plus.euclidean_distance,0.6
|
10 |
+
19,50,GPN_final_Embeddings.plus.euclidean_distance,0.16155187405187404
|
11 |
+
2,100,GPN_final_Embeddings.plus.euclidean_distance,0.10977499816136468
|
12 |
+
20,50,GPN_final_Embeddings.plus.euclidean_distance,0.16949109787455652
|
13 |
+
21,20,GPN_final_Embeddings.plus.euclidean_distance,0.6111111111111112
|
14 |
+
22,30,GPN_final_Embeddings.plus.euclidean_distance,0.5972222222222222
|
15 |
+
3,50,GPN_final_Embeddings.plus.euclidean_distance,0.29516548463356973
|
16 |
+
4,50,GPN_final_Embeddings.plus.euclidean_distance,0.47689393939393937
|
17 |
+
5,40,GPN_final_Embeddings.plus.euclidean_distance,0.22946127946127945
|
18 |
+
6,80,GPN_final_Embeddings.plus.euclidean_distance,0.11291939804008577
|
19 |
+
7,30,GPN_final_Embeddings.plus.euclidean_distance,0.1638888888888889
|
20 |
+
8,40,GPN_final_Embeddings.plus.euclidean_distance,0.45
|
21 |
+
9,30,GPN_final_Embeddings.plus.euclidean_distance,0.07782957782957783
|
complex_traits_matched_9/AUPRC_by_chrom/pip_0.99/Borzoi.LogisticRegression.chrom.subset_from_all.csv
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUPRC
|
2 |
+
1,670,Borzoi.LogisticRegression.chrom.subset_from_all,0.34609539970110353
|
3 |
+
2,590,Borzoi.LogisticRegression.chrom.subset_from_all,0.2609916805675465
|
4 |
+
3,420,Borzoi.LogisticRegression.chrom.subset_from_all,0.2704336980393677
|
5 |
+
4,280,Borzoi.LogisticRegression.chrom.subset_from_all,0.27156598110633573
|
6 |
+
5,320,Borzoi.LogisticRegression.chrom.subset_from_all,0.3259839873382789
|
7 |
+
6,570,Borzoi.LogisticRegression.chrom.subset_from_all,0.21502161103974227
|
8 |
+
7,340,Borzoi.LogisticRegression.chrom.subset_from_all,0.514556956587132
|
9 |
+
8,250,Borzoi.LogisticRegression.chrom.subset_from_all,0.24504025105191152
|
10 |
+
9,280,Borzoi.LogisticRegression.chrom.subset_from_all,0.3336416867094865
|
11 |
+
10,300,Borzoi.LogisticRegression.chrom.subset_from_all,0.4286089986753991
|
12 |
+
11,480,Borzoi.LogisticRegression.chrom.subset_from_all,0.3372470067183618
|
13 |
+
12,360,Borzoi.LogisticRegression.chrom.subset_from_all,0.3761837775700489
|
14 |
+
13,150,Borzoi.LogisticRegression.chrom.subset_from_all,0.26460607297728933
|
15 |
+
14,230,Borzoi.LogisticRegression.chrom.subset_from_all,0.2013518198881302
|
16 |
+
15,260,Borzoi.LogisticRegression.chrom.subset_from_all,0.4145645606631162
|
17 |
+
16,460,Borzoi.LogisticRegression.chrom.subset_from_all,0.3740696281504191
|
18 |
+
17,400,Borzoi.LogisticRegression.chrom.subset_from_all,0.4143972649887278
|
19 |
+
18,160,Borzoi.LogisticRegression.chrom.subset_from_all,0.36802062264643653
|
20 |
+
19,380,Borzoi.LogisticRegression.chrom.subset_from_all,0.4031562569285465
|
21 |
+
20,330,Borzoi.LogisticRegression.chrom.subset_from_all,0.23787875232441996
|
22 |
+
21,80,Borzoi.LogisticRegression.chrom.subset_from_all,0.5468462823725981
|
23 |
+
22,180,Borzoi.LogisticRegression.chrom.subset_from_all,0.3065125413507501
|
complex_traits_matched_9/AUPRC_by_chrom/pip_0.99/CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.subset_from_all.csv
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUPRC
|
2 |
+
1,670,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.subset_from_all,0.4091116711367006
|
3 |
+
2,590,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.subset_from_all,0.3333521671420373
|
4 |
+
3,420,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.subset_from_all,0.352584549181094
|
5 |
+
4,280,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.subset_from_all,0.3094535100226825
|
6 |
+
5,320,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.subset_from_all,0.30982865230681866
|
7 |
+
6,570,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.subset_from_all,0.34471912476066663
|
8 |
+
7,340,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.subset_from_all,0.5808033068381928
|
9 |
+
8,250,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.subset_from_all,0.29947099217190537
|
10 |
+
9,280,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.subset_from_all,0.4122879405499527
|
11 |
+
10,300,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.subset_from_all,0.5018621847476034
|
12 |
+
11,480,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.subset_from_all,0.3793154505573373
|
13 |
+
12,360,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.subset_from_all,0.45154608227496074
|
14 |
+
13,150,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.subset_from_all,0.3414339320588363
|
15 |
+
14,230,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.subset_from_all,0.31719638321333693
|
16 |
+
15,260,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.subset_from_all,0.3884203964452342
|
17 |
+
16,460,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.subset_from_all,0.48246742002237436
|
18 |
+
17,400,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.subset_from_all,0.42921254394947017
|
19 |
+
18,160,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.subset_from_all,0.48289855493098677
|
20 |
+
19,380,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.subset_from_all,0.48042803048306043
|
21 |
+
20,330,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.subset_from_all,0.3108797895955782
|
22 |
+
21,80,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.subset_from_all,0.5140309952809953
|
23 |
+
22,180,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.subset_from_all,0.40738179387891205
|
complex_traits_matched_9/AUPRC_by_chrom/pip_0.99/CADD.plus.RawScore.csv
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUPRC
|
2 |
+
1,670,CADD.plus.RawScore,0.22341199075780516
|
3 |
+
2,590,CADD.plus.RawScore,0.2738197960707961
|
4 |
+
3,420,CADD.plus.RawScore,0.32940858517048627
|
5 |
+
4,280,CADD.plus.RawScore,0.23494208400171412
|
6 |
+
5,320,CADD.plus.RawScore,0.25909870955272096
|
7 |
+
6,570,CADD.plus.RawScore,0.19650671564365668
|
8 |
+
7,340,CADD.plus.RawScore,0.3158623734829076
|
9 |
+
8,250,CADD.plus.RawScore,0.20246408127044088
|
10 |
+
9,280,CADD.plus.RawScore,0.2164127243108949
|
11 |
+
10,300,CADD.plus.RawScore,0.3341398200485606
|
12 |
+
11,480,CADD.plus.RawScore,0.23336268491809042
|
13 |
+
12,360,CADD.plus.RawScore,0.29095155656973687
|
14 |
+
13,150,CADD.plus.RawScore,0.312993085216372
|
15 |
+
14,230,CADD.plus.RawScore,0.29370982651743527
|
16 |
+
15,260,CADD.plus.RawScore,0.22337863456583462
|
17 |
+
16,460,CADD.plus.RawScore,0.29012395899319293
|
18 |
+
17,400,CADD.plus.RawScore,0.21029219956346817
|
19 |
+
18,160,CADD.plus.RawScore,0.4066709751887771
|
20 |
+
19,380,CADD.plus.RawScore,0.20244284549766636
|
21 |
+
20,330,CADD.plus.RawScore,0.29615088717706506
|
22 |
+
21,80,CADD.plus.RawScore,0.1830058391858504
|
23 |
+
22,180,CADD.plus.RawScore,0.33819753852920986
|
complex_traits_matched_9/AUPRC_by_chrom/pip_0.999/Borzoi.LogisticRegression.chrom.subset_from_all.csv
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUPRC
|
2 |
+
1,500,Borzoi.LogisticRegression.chrom.subset_from_all,0.40160981306719634
|
3 |
+
2,420,Borzoi.LogisticRegression.chrom.subset_from_all,0.31242617973931014
|
4 |
+
3,290,Borzoi.LogisticRegression.chrom.subset_from_all,0.31982418993285594
|
5 |
+
4,160,Borzoi.LogisticRegression.chrom.subset_from_all,0.3166316197652608
|
6 |
+
5,250,Borzoi.LogisticRegression.chrom.subset_from_all,0.30875111057312216
|
7 |
+
6,420,Borzoi.LogisticRegression.chrom.subset_from_all,0.23352090710443865
|
8 |
+
7,290,Borzoi.LogisticRegression.chrom.subset_from_all,0.5230464592841576
|
9 |
+
8,180,Borzoi.LogisticRegression.chrom.subset_from_all,0.24137086232524393
|
10 |
+
9,210,Borzoi.LogisticRegression.chrom.subset_from_all,0.383830660103079
|
11 |
+
10,200,Borzoi.LogisticRegression.chrom.subset_from_all,0.5443184444110131
|
12 |
+
11,300,Borzoi.LogisticRegression.chrom.subset_from_all,0.42901372772520335
|
13 |
+
12,280,Borzoi.LogisticRegression.chrom.subset_from_all,0.3021614536197318
|
14 |
+
13,100,Borzoi.LogisticRegression.chrom.subset_from_all,0.2980460234525432
|
15 |
+
14,170,Borzoi.LogisticRegression.chrom.subset_from_all,0.18005151480311793
|
16 |
+
15,210,Borzoi.LogisticRegression.chrom.subset_from_all,0.3939118466875766
|
17 |
+
16,360,Borzoi.LogisticRegression.chrom.subset_from_all,0.41951496310430875
|
18 |
+
17,260,Borzoi.LogisticRegression.chrom.subset_from_all,0.4205227374088582
|
19 |
+
18,130,Borzoi.LogisticRegression.chrom.subset_from_all,0.3862506045251874
|
20 |
+
19,230,Borzoi.LogisticRegression.chrom.subset_from_all,0.47505490501638553
|
21 |
+
20,200,Borzoi.LogisticRegression.chrom.subset_from_all,0.282044141598286
|
22 |
+
21,50,Borzoi.LogisticRegression.chrom.subset_from_all,0.6857142857142857
|
23 |
+
22,140,Borzoi.LogisticRegression.chrom.subset_from_all,0.2746453766121206
|
complex_traits_matched_9/AUPRC_by_chrom/pip_0.999/Borzoi_L2_L2.plus.all.csv
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUPRC
|
2 |
+
1,500,Borzoi_L2_L2.plus.all,0.3293560269091964
|
3 |
+
2,420,Borzoi_L2_L2.plus.all,0.29626317103510114
|
4 |
+
3,290,Borzoi_L2_L2.plus.all,0.27275473069956785
|
5 |
+
4,160,Borzoi_L2_L2.plus.all,0.3120689949409645
|
6 |
+
5,250,Borzoi_L2_L2.plus.all,0.36500503820633307
|
7 |
+
6,420,Borzoi_L2_L2.plus.all,0.14663875345037755
|
8 |
+
7,290,Borzoi_L2_L2.plus.all,0.37369813214419756
|
9 |
+
8,180,Borzoi_L2_L2.plus.all,0.21618993607609904
|
10 |
+
9,210,Borzoi_L2_L2.plus.all,0.22892837856165263
|
11 |
+
10,200,Borzoi_L2_L2.plus.all,0.32363168943244874
|
12 |
+
11,300,Borzoi_L2_L2.plus.all,0.37411510591186625
|
13 |
+
12,280,Borzoi_L2_L2.plus.all,0.3337425551919725
|
14 |
+
13,100,Borzoi_L2_L2.plus.all,0.41252293938170237
|
15 |
+
14,170,Borzoi_L2_L2.plus.all,0.2109973848612505
|
16 |
+
15,210,Borzoi_L2_L2.plus.all,0.22602594722331804
|
17 |
+
16,360,Borzoi_L2_L2.plus.all,0.3378352340546488
|
18 |
+
17,260,Borzoi_L2_L2.plus.all,0.2945135783668346
|
19 |
+
18,130,Borzoi_L2_L2.plus.all,0.27487885058182177
|
20 |
+
19,230,Borzoi_L2_L2.plus.all,0.3984081192357095
|
21 |
+
20,200,Borzoi_L2_L2.plus.all,0.21600194563345562
|
22 |
+
21,50,Borzoi_L2_L2.plus.all,0.632156862745098
|
23 |
+
22,140,Borzoi_L2_L2.plus.all,0.34946834908986724
|
complex_traits_matched_9/AUPRC_by_chrom/pip_0.999/CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.subset_from_all.csv
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUPRC
|
2 |
+
1,500,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.subset_from_all,0.48011994847863226
|
3 |
+
2,420,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.subset_from_all,0.3789221561212436
|
4 |
+
3,290,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.subset_from_all,0.38224124688083616
|
5 |
+
4,160,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.subset_from_all,0.3633672865785938
|
6 |
+
5,250,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.subset_from_all,0.2725499147266549
|
7 |
+
6,420,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.subset_from_all,0.3494601099299758
|
8 |
+
7,290,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.subset_from_all,0.6007771994963391
|
9 |
+
8,180,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.subset_from_all,0.3374217720355921
|
10 |
+
9,210,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.subset_from_all,0.4613913166673242
|
11 |
+
10,200,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.subset_from_all,0.5792283216714436
|
12 |
+
11,300,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.subset_from_all,0.48067838602218627
|
13 |
+
12,280,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.subset_from_all,0.40192975393270264
|
14 |
+
13,100,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.subset_from_all,0.35482721118750526
|
15 |
+
14,170,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.subset_from_all,0.24085090647240479
|
16 |
+
15,210,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.subset_from_all,0.376512953099602
|
17 |
+
16,360,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.subset_from_all,0.5179686914497575
|
18 |
+
17,260,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.subset_from_all,0.462650533546056
|
19 |
+
18,130,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.subset_from_all,0.5605536205944355
|
20 |
+
19,230,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.subset_from_all,0.5125526523649154
|
21 |
+
20,200,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.subset_from_all,0.37085240594596514
|
22 |
+
21,50,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.subset_from_all,0.6032051282051283
|
23 |
+
22,140,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.subset_from_all,0.3374361042023002
|
complex_traits_matched_9/AUPRC_by_chrom/pip_0.999/CADD.LogisticRegression.chrom.subset_from_all.csv
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUPRC
|
2 |
+
1,500,CADD.LogisticRegression.chrom.subset_from_all,0.30131003246014887
|
3 |
+
2,420,CADD.LogisticRegression.chrom.subset_from_all,0.22186735889581444
|
4 |
+
3,290,CADD.LogisticRegression.chrom.subset_from_all,0.40645736625093015
|
5 |
+
4,160,CADD.LogisticRegression.chrom.subset_from_all,0.31470979686437195
|
6 |
+
5,250,CADD.LogisticRegression.chrom.subset_from_all,0.21732038495191086
|
7 |
+
6,420,CADD.LogisticRegression.chrom.subset_from_all,0.2641655547729248
|
8 |
+
7,290,CADD.LogisticRegression.chrom.subset_from_all,0.4111786795169678
|
9 |
+
8,180,CADD.LogisticRegression.chrom.subset_from_all,0.41767526701087565
|
10 |
+
9,210,CADD.LogisticRegression.chrom.subset_from_all,0.31230509268979795
|
11 |
+
10,200,CADD.LogisticRegression.chrom.subset_from_all,0.35376079930975
|
12 |
+
11,300,CADD.LogisticRegression.chrom.subset_from_all,0.3032560849302374
|
13 |
+
12,280,CADD.LogisticRegression.chrom.subset_from_all,0.40835464939948163
|
14 |
+
13,100,CADD.LogisticRegression.chrom.subset_from_all,0.4184295527396886
|
15 |
+
14,170,CADD.LogisticRegression.chrom.subset_from_all,0.31303116498781164
|
16 |
+
15,210,CADD.LogisticRegression.chrom.subset_from_all,0.2275113017565179
|
17 |
+
16,360,CADD.LogisticRegression.chrom.subset_from_all,0.3940982673411397
|
18 |
+
17,260,CADD.LogisticRegression.chrom.subset_from_all,0.2439178940177734
|
19 |
+
18,130,CADD.LogisticRegression.chrom.subset_from_all,0.5285643030239201
|
20 |
+
19,230,CADD.LogisticRegression.chrom.subset_from_all,0.24857684382728068
|
21 |
+
20,200,CADD.LogisticRegression.chrom.subset_from_all,0.31194140314605323
|
22 |
+
21,50,CADD.LogisticRegression.chrom.subset_from_all,0.4015151515151515
|
23 |
+
22,140,CADD.LogisticRegression.chrom.subset_from_all,0.30006013892667416
|
complex_traits_matched_9/AUPRC_by_chrom/pip_0.999/CADD.plus.RawScore.csv
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUPRC
|
2 |
+
1,500,CADD.plus.RawScore,0.2722516793036144
|
3 |
+
2,420,CADD.plus.RawScore,0.27447374366157873
|
4 |
+
3,290,CADD.plus.RawScore,0.37739558128609657
|
5 |
+
4,160,CADD.plus.RawScore,0.2383220552695602
|
6 |
+
5,250,CADD.plus.RawScore,0.2439849444534522
|
7 |
+
6,420,CADD.plus.RawScore,0.21394459798623108
|
8 |
+
7,290,CADD.plus.RawScore,0.3613157180835323
|
9 |
+
8,180,CADD.plus.RawScore,0.3201144390649864
|
10 |
+
9,210,CADD.plus.RawScore,0.24428793825240958
|
11 |
+
10,200,CADD.plus.RawScore,0.2745057294732142
|
12 |
+
11,300,CADD.plus.RawScore,0.27807740416304516
|
13 |
+
12,280,CADD.plus.RawScore,0.2831270228440893
|
14 |
+
13,100,CADD.plus.RawScore,0.32656222618988573
|
15 |
+
14,170,CADD.plus.RawScore,0.2869168373316869
|
16 |
+
15,210,CADD.plus.RawScore,0.2669294137655534
|
17 |
+
16,360,CADD.plus.RawScore,0.3345134140249323
|
18 |
+
17,260,CADD.plus.RawScore,0.2690815841278201
|
19 |
+
18,130,CADD.plus.RawScore,0.4567811004747335
|
20 |
+
19,230,CADD.plus.RawScore,0.20692642657506993
|
21 |
+
20,200,CADD.plus.RawScore,0.2959758013970087
|
22 |
+
21,50,CADD.plus.RawScore,0.11391716839992701
|
23 |
+
22,140,CADD.plus.RawScore,0.26982426269181875
|
complex_traits_matched_9/AUPRC_by_chrom/pip_0.999/GPN-MSA.LogisticRegression.chrom.subset_from_all.csv
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUPRC
|
2 |
+
1,500,GPN-MSA.LogisticRegression.chrom.subset_from_all,0.3070474635323063
|
3 |
+
2,420,GPN-MSA.LogisticRegression.chrom.subset_from_all,0.270497861698667
|
4 |
+
3,290,GPN-MSA.LogisticRegression.chrom.subset_from_all,0.24407790890923461
|
5 |
+
4,160,GPN-MSA.LogisticRegression.chrom.subset_from_all,0.2054620693856859
|
6 |
+
5,250,GPN-MSA.LogisticRegression.chrom.subset_from_all,0.23379461718756156
|
7 |
+
6,420,GPN-MSA.LogisticRegression.chrom.subset_from_all,0.3173479537220611
|
8 |
+
7,290,GPN-MSA.LogisticRegression.chrom.subset_from_all,0.39537672708783034
|
9 |
+
8,180,GPN-MSA.LogisticRegression.chrom.subset_from_all,0.4506609695764248
|
10 |
+
9,210,GPN-MSA.LogisticRegression.chrom.subset_from_all,0.2955155180972195
|
11 |
+
10,200,GPN-MSA.LogisticRegression.chrom.subset_from_all,0.42784805071584314
|
12 |
+
11,300,GPN-MSA.LogisticRegression.chrom.subset_from_all,0.29676375007614675
|
13 |
+
12,280,GPN-MSA.LogisticRegression.chrom.subset_from_all,0.4208605604377018
|
14 |
+
13,100,GPN-MSA.LogisticRegression.chrom.subset_from_all,0.19786717501907375
|
15 |
+
14,170,GPN-MSA.LogisticRegression.chrom.subset_from_all,0.3050405727813981
|
16 |
+
15,210,GPN-MSA.LogisticRegression.chrom.subset_from_all,0.20467997041776184
|
17 |
+
16,360,GPN-MSA.LogisticRegression.chrom.subset_from_all,0.3132613479890769
|
18 |
+
17,260,GPN-MSA.LogisticRegression.chrom.subset_from_all,0.2752156952820998
|
19 |
+
18,130,GPN-MSA.LogisticRegression.chrom.subset_from_all,0.44886192311229794
|
20 |
+
19,230,GPN-MSA.LogisticRegression.chrom.subset_from_all,0.35976250208417676
|
21 |
+
20,200,GPN-MSA.LogisticRegression.chrom.subset_from_all,0.3069853327411064
|
22 |
+
21,50,GPN-MSA.LogisticRegression.chrom.subset_from_all,0.14436274509803923
|
23 |
+
22,140,GPN-MSA.LogisticRegression.chrom.subset_from_all,0.2620724742369696
|
complex_traits_matched_9/AUPRC_by_chrom/pip_0.999/GPN-MSA_absLLR.plus.score.csv
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUPRC
|
2 |
+
1,500,GPN-MSA_absLLR.plus.score,0.25032071879615736
|
3 |
+
2,420,GPN-MSA_absLLR.plus.score,0.19531215486400627
|
4 |
+
3,290,GPN-MSA_absLLR.plus.score,0.35174712363018573
|
5 |
+
4,160,GPN-MSA_absLLR.plus.score,0.17668494839147214
|
6 |
+
5,250,GPN-MSA_absLLR.plus.score,0.28436065200385946
|
7 |
+
6,420,GPN-MSA_absLLR.plus.score,0.2096942130031989
|
8 |
+
7,290,GPN-MSA_absLLR.plus.score,0.3222420609879737
|
9 |
+
8,180,GPN-MSA_absLLR.plus.score,0.32192191787389934
|
10 |
+
9,210,GPN-MSA_absLLR.plus.score,0.25084175869742253
|
11 |
+
10,200,GPN-MSA_absLLR.plus.score,0.35050340414782055
|
12 |
+
11,300,GPN-MSA_absLLR.plus.score,0.22047397093604804
|
13 |
+
12,280,GPN-MSA_absLLR.plus.score,0.26510682791255885
|
14 |
+
13,100,GPN-MSA_absLLR.plus.score,0.1928535536282015
|
15 |
+
14,170,GPN-MSA_absLLR.plus.score,0.29153081065220343
|
16 |
+
15,210,GPN-MSA_absLLR.plus.score,0.1806504840055581
|
17 |
+
16,360,GPN-MSA_absLLR.plus.score,0.25838568317203303
|
18 |
+
17,260,GPN-MSA_absLLR.plus.score,0.2215507114507975
|
19 |
+
18,130,GPN-MSA_absLLR.plus.score,0.3040428610330314
|
20 |
+
19,230,GPN-MSA_absLLR.plus.score,0.18642036417840754
|
21 |
+
20,200,GPN-MSA_absLLR.plus.score,0.28758077342022675
|
22 |
+
21,50,GPN-MSA_absLLR.plus.score,0.1067117327117327
|
23 |
+
22,140,GPN-MSA_absLLR.plus.score,0.2553221783641831
|
complex_traits_matched_9/AUPRC_by_chrom/pleiotropy_no/Borzoi.LogisticRegression.chrom.subset_from_all.csv
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUPRC
|
2 |
+
1,690,Borzoi.LogisticRegression.chrom.subset_from_all,0.2971805065887371
|
3 |
+
2,680,Borzoi.LogisticRegression.chrom.subset_from_all,0.1887517417881207
|
4 |
+
3,490,Borzoi.LogisticRegression.chrom.subset_from_all,0.2850972977729853
|
5 |
+
4,250,Borzoi.LogisticRegression.chrom.subset_from_all,0.21077877782360657
|
6 |
+
5,420,Borzoi.LogisticRegression.chrom.subset_from_all,0.2981407214592252
|
7 |
+
6,610,Borzoi.LogisticRegression.chrom.subset_from_all,0.17730865486028471
|
8 |
+
7,360,Borzoi.LogisticRegression.chrom.subset_from_all,0.3496251212657776
|
9 |
+
8,380,Borzoi.LogisticRegression.chrom.subset_from_all,0.2237206985818772
|
10 |
+
9,330,Borzoi.LogisticRegression.chrom.subset_from_all,0.23312990767674407
|
11 |
+
10,390,Borzoi.LogisticRegression.chrom.subset_from_all,0.28912194325641016
|
12 |
+
11,530,Borzoi.LogisticRegression.chrom.subset_from_all,0.2863105589979436
|
13 |
+
12,450,Borzoi.LogisticRegression.chrom.subset_from_all,0.34274230495528935
|
14 |
+
13,160,Borzoi.LogisticRegression.chrom.subset_from_all,0.16564344772914522
|
15 |
+
14,310,Borzoi.LogisticRegression.chrom.subset_from_all,0.15250271582978198
|
16 |
+
15,270,Borzoi.LogisticRegression.chrom.subset_from_all,0.3263902069148408
|
17 |
+
16,380,Borzoi.LogisticRegression.chrom.subset_from_all,0.30870188477365085
|
18 |
+
17,400,Borzoi.LogisticRegression.chrom.subset_from_all,0.20075613147381433
|
19 |
+
18,190,Borzoi.LogisticRegression.chrom.subset_from_all,0.2784991077131923
|
20 |
+
19,410,Borzoi.LogisticRegression.chrom.subset_from_all,0.27709056842708485
|
21 |
+
20,420,Borzoi.LogisticRegression.chrom.subset_from_all,0.23257785563596056
|
22 |
+
21,110,Borzoi.LogisticRegression.chrom.subset_from_all,0.43802296930639184
|
23 |
+
22,240,Borzoi.LogisticRegression.chrom.subset_from_all,0.3925215178898528
|
complex_traits_matched_9/AUPRC_by_chrom/pleiotropy_no/Borzoi_L2_L2.plus.all.csv
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUPRC
|
2 |
+
1,690,Borzoi_L2_L2.plus.all,0.21500130328730097
|
3 |
+
2,680,Borzoi_L2_L2.plus.all,0.18868124568534286
|
4 |
+
3,490,Borzoi_L2_L2.plus.all,0.22922662414025755
|
5 |
+
4,250,Borzoi_L2_L2.plus.all,0.17580036752158315
|
6 |
+
5,420,Borzoi_L2_L2.plus.all,0.2434386361947568
|
7 |
+
6,610,Borzoi_L2_L2.plus.all,0.15384791031713635
|
8 |
+
7,360,Borzoi_L2_L2.plus.all,0.22773088642679862
|
9 |
+
8,380,Borzoi_L2_L2.plus.all,0.16539352084888348
|
10 |
+
9,330,Borzoi_L2_L2.plus.all,0.1669897199525168
|
11 |
+
10,390,Borzoi_L2_L2.plus.all,0.18448710408373328
|
12 |
+
11,530,Borzoi_L2_L2.plus.all,0.2224863411982337
|
13 |
+
12,450,Borzoi_L2_L2.plus.all,0.2424406267837772
|
14 |
+
13,160,Borzoi_L2_L2.plus.all,0.3089136325389407
|
15 |
+
14,310,Borzoi_L2_L2.plus.all,0.20035881877188574
|
16 |
+
15,270,Borzoi_L2_L2.plus.all,0.19803917675139926
|
17 |
+
16,380,Borzoi_L2_L2.plus.all,0.26388321845209944
|
18 |
+
17,400,Borzoi_L2_L2.plus.all,0.11689855167521082
|
19 |
+
18,190,Borzoi_L2_L2.plus.all,0.19022457079735866
|
20 |
+
19,410,Borzoi_L2_L2.plus.all,0.23873980324265642
|
21 |
+
20,420,Borzoi_L2_L2.plus.all,0.1782870509503453
|
22 |
+
21,110,Borzoi_L2_L2.plus.all,0.36492720639375875
|
23 |
+
22,240,Borzoi_L2_L2.plus.all,0.3448678336187191
|
complex_traits_matched_9/AUPRC_by_chrom/pleiotropy_no/CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.subset_from_all.csv
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUPRC
|
2 |
+
1,690,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.subset_from_all,0.3795674219383475
|
3 |
+
2,680,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.subset_from_all,0.2849603464390862
|
4 |
+
3,490,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.subset_from_all,0.32113046866707695
|
5 |
+
4,250,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.subset_from_all,0.2338119774590098
|
6 |
+
5,420,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.subset_from_all,0.34530626698264505
|
7 |
+
6,610,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.subset_from_all,0.2500008944937088
|
8 |
+
7,360,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.subset_from_all,0.42507065567813507
|
9 |
+
8,380,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.subset_from_all,0.29648508079267794
|
10 |
+
9,330,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.subset_from_all,0.31933186170887545
|
11 |
+
10,390,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.subset_from_all,0.35729086301392243
|
12 |
+
11,530,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.subset_from_all,0.3103683116705846
|
13 |
+
12,450,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.subset_from_all,0.4199644105556457
|
14 |
+
13,160,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.subset_from_all,0.24638973657933722
|
15 |
+
14,310,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.subset_from_all,0.22445970290309308
|
16 |
+
15,270,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.subset_from_all,0.3324190448093042
|
17 |
+
16,380,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.subset_from_all,0.48678087962425953
|
18 |
+
17,400,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.subset_from_all,0.22492429967831165
|
19 |
+
18,190,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.subset_from_all,0.32670224459905944
|
20 |
+
19,410,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.subset_from_all,0.34702449529602636
|
21 |
+
20,420,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.subset_from_all,0.26362098041509785
|
22 |
+
21,110,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.subset_from_all,0.44150988063337027
|
23 |
+
22,240,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.subset_from_all,0.4687646762655531
|