Datasets:
Add files using upload-large-folder tool
Browse filesThis view is limited to 50 files because it contains too many changes.
See raw diff
- complex_traits_matched_9/AUPRC_by_chrom/3_prime_UTR_variant/GPN_final.LogisticRegression.chrom.subset_from_all.csv +19 -0
- complex_traits_matched_9/AUPRC_by_chrom/5_prime_UTR_variant/GPN_final.LogisticRegression.chrom.subset_from_all.csv +20 -0
- complex_traits_matched_9/AUPRC_by_chrom/5_prime_UTR_variant/GPN_final_Embeddings.plus.euclidean_distance.csv +20 -0
- complex_traits_matched_9/AUPRC_by_chrom/all/Borzoi.LogisticRegression.chrom.csv +23 -0
- complex_traits_matched_9/AUPRC_by_chrom/all/Borzoi_L2_L2.plus.all.csv +23 -0
- complex_traits_matched_9/AUPRC_by_chrom/all/CADD+Borzoi.LogisticRegression.chrom.csv +23 -0
- complex_traits_matched_9/AUPRC_by_chrom/all/CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.csv +23 -0
- complex_traits_matched_9/AUPRC_by_chrom/all/CADD+GPN-MSA.LogisticRegression.chrom.csv +23 -0
- complex_traits_matched_9/AUPRC_by_chrom/all/CADD.plus.RawScore.csv +23 -0
- complex_traits_matched_9/AUPRC_by_chrom/all/Caduceus.LogisticRegression.chrom.csv +23 -0
- complex_traits_matched_9/AUPRC_by_chrom/all/Caduceus_Embeddings.minus.inner_product.csv +23 -0
- complex_traits_matched_9/AUPRC_by_chrom/all/Caduceus_Embeddings.plus.euclidean_distance.csv +23 -0
- complex_traits_matched_9/AUPRC_by_chrom/all/Caduceus_LLR.minus.score.csv +23 -0
- complex_traits_matched_9/AUPRC_by_chrom/all/Caduceus_absLLR.plus.score.csv +23 -0
- complex_traits_matched_9/AUPRC_by_chrom/all/Enformer.LogisticRegression.chrom.csv +23 -0
- complex_traits_matched_9/AUPRC_by_chrom/all/Enformer_L2_L2.plus.all.csv +23 -0
- complex_traits_matched_9/AUPRC_by_chrom/all/GPN-MSA+Borzoi.LogisticRegression.chrom.csv +23 -0
- complex_traits_matched_9/AUPRC_by_chrom/all/GPN-MSA.LogisticRegression.chrom.csv +23 -0
- complex_traits_matched_9/AUPRC_by_chrom/all/GPN-MSA_Embeddings.minus.inner_product.csv +23 -0
- complex_traits_matched_9/AUPRC_by_chrom/all/GPN-MSA_Embeddings.plus.cosine_distance.csv +23 -0
- complex_traits_matched_9/AUPRC_by_chrom/all/GPN-MSA_Embeddings.plus.euclidean_distance.csv +23 -0
- complex_traits_matched_9/AUPRC_by_chrom/all/GPN-MSA_LLR.minus.score.csv +23 -0
- complex_traits_matched_9/AUPRC_by_chrom/all/GPN-MSA_absLLR.plus.score.csv +23 -0
- complex_traits_matched_9/AUPRC_by_chrom/all/GPN_final.LogisticRegression.chrom.csv +23 -0
- complex_traits_matched_9/AUPRC_by_chrom/all/GPN_final_Embeddings.minus.inner_product.csv +23 -0
- complex_traits_matched_9/AUPRC_by_chrom/all/GPN_final_Embeddings.plus.cosine_distance.csv +23 -0
- complex_traits_matched_9/AUPRC_by_chrom/all/GPN_final_Embeddings.plus.euclidean_distance.csv +23 -0
- complex_traits_matched_9/AUPRC_by_chrom/all/GPN_final_LLR.minus.score.csv +23 -0
- complex_traits_matched_9/AUPRC_by_chrom/all/GPN_final_absLLR.plus.score.csv +23 -0
- complex_traits_matched_9/AUPRC_by_chrom/all/HyenaDNA.LogisticRegression.chrom.csv +23 -0
- complex_traits_matched_9/AUPRC_by_chrom/all/HyenaDNA_Embeddings.minus.inner_product.csv +23 -0
- complex_traits_matched_9/AUPRC_by_chrom/all/HyenaDNA_Embeddings.plus.cosine_distance.csv +23 -0
- complex_traits_matched_9/AUPRC_by_chrom/all/HyenaDNA_Embeddings.plus.euclidean_distance.csv +23 -0
- complex_traits_matched_9/AUPRC_by_chrom/all/HyenaDNA_LLR.minus.score.csv +23 -0
- complex_traits_matched_9/AUPRC_by_chrom/all/HyenaDNA_absLLR.plus.score.csv +23 -0
- complex_traits_matched_9/AUPRC_by_chrom/all/NucleotideTransformer.LogisticRegression.chrom.csv +23 -0
- complex_traits_matched_9/AUPRC_by_chrom/all/NucleotideTransformer_Embeddings.minus.inner_product.csv +23 -0
- complex_traits_matched_9/AUPRC_by_chrom/all/NucleotideTransformer_Embeddings.plus.cosine_distance.csv +23 -0
- complex_traits_matched_9/AUPRC_by_chrom/all/NucleotideTransformer_Embeddings.plus.euclidean_distance.csv +23 -0
- complex_traits_matched_9/AUPRC_by_chrom/all/NucleotideTransformer_LLR.minus.score.csv +23 -0
- complex_traits_matched_9/AUPRC_by_chrom/all/NucleotideTransformer_absLLR.plus.score.csv +23 -0
- complex_traits_matched_9/AUPRC_by_chrom/all/Sei.LogisticRegression.chrom.csv +23 -0
- complex_traits_matched_9/AUPRC_by_chrom/all/Sei.plus.seqclass_max_absdiff.csv +23 -0
- complex_traits_matched_9/AUPRC_by_chrom/nonexonic_AND_distal/GPN_final.LogisticRegression.chrom.subset_from_all.csv +23 -0
- complex_traits_matched_9/AUPRC_by_chrom/nonexonic_AND_distal/GPN_final_Embeddings.plus.euclidean_distance.csv +23 -0
- complex_traits_matched_9/AUPRC_by_chrom/pip_0.99/Borzoi_L2_L2.plus.all.csv +23 -0
- complex_traits_matched_9/AUPRC_by_chrom/pip_0.99/CADD.LogisticRegression.chrom.subset_from_all.csv +23 -0
- complex_traits_matched_9/AUPRC_by_chrom/pip_0.99/GPN-MSA.LogisticRegression.chrom.subset_from_all.csv +23 -0
- complex_traits_matched_9/AUPRC_by_chrom/pip_0.99/GPN-MSA_absLLR.plus.score.csv +23 -0
- complex_traits_matched_9/AUPRC_by_chrom/pleiotropy_no/CADD.LogisticRegression.chrom.subset_from_all.csv +23 -0
complex_traits_matched_9/AUPRC_by_chrom/3_prime_UTR_variant/GPN_final.LogisticRegression.chrom.subset_from_all.csv
ADDED
@@ -0,0 +1,19 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUPRC
|
2 |
+
1,40,GPN_final.LogisticRegression.chrom.subset_from_all,0.5379901960784313
|
3 |
+
2,30,GPN_final.LogisticRegression.chrom.subset_from_all,0.5912698412698412
|
4 |
+
3,30,GPN_final.LogisticRegression.chrom.subset_from_all,0.09048821548821549
|
5 |
+
5,40,GPN_final.LogisticRegression.chrom.subset_from_all,0.08392857142857144
|
6 |
+
6,10,GPN_final.LogisticRegression.chrom.subset_from_all,1.0
|
7 |
+
7,10,GPN_final.LogisticRegression.chrom.subset_from_all,0.25
|
8 |
+
9,20,GPN_final.LogisticRegression.chrom.subset_from_all,0.39285714285714285
|
9 |
+
10,20,GPN_final.LogisticRegression.chrom.subset_from_all,0.3214285714285714
|
10 |
+
11,20,GPN_final.LogisticRegression.chrom.subset_from_all,0.2222222222222222
|
11 |
+
12,40,GPN_final.LogisticRegression.chrom.subset_from_all,0.34226190476190477
|
12 |
+
14,10,GPN_final.LogisticRegression.chrom.subset_from_all,1.0
|
13 |
+
15,30,GPN_final.LogisticRegression.chrom.subset_from_all,0.09262820512820513
|
14 |
+
16,20,GPN_final.LogisticRegression.chrom.subset_from_all,0.2111111111111111
|
15 |
+
17,70,GPN_final.LogisticRegression.chrom.subset_from_all,0.4316666666666666
|
16 |
+
18,10,GPN_final.LogisticRegression.chrom.subset_from_all,0.14285714285714285
|
17 |
+
19,80,GPN_final.LogisticRegression.chrom.subset_from_all,0.3934152478741252
|
18 |
+
20,20,GPN_final.LogisticRegression.chrom.subset_from_all,0.10555555555555556
|
19 |
+
22,20,GPN_final.LogisticRegression.chrom.subset_from_all,0.19642857142857142
|
complex_traits_matched_9/AUPRC_by_chrom/5_prime_UTR_variant/GPN_final.LogisticRegression.chrom.subset_from_all.csv
ADDED
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUPRC
|
2 |
+
1,60,GPN_final.LogisticRegression.chrom.subset_from_all,0.34561965811965806
|
3 |
+
2,40,GPN_final.LogisticRegression.chrom.subset_from_all,0.3430250305250305
|
4 |
+
3,10,GPN_final.LogisticRegression.chrom.subset_from_all,0.5
|
5 |
+
5,20,GPN_final.LogisticRegression.chrom.subset_from_all,0.6111111111111112
|
6 |
+
6,10,GPN_final.LogisticRegression.chrom.subset_from_all,0.125
|
7 |
+
7,10,GPN_final.LogisticRegression.chrom.subset_from_all,0.125
|
8 |
+
8,20,GPN_final.LogisticRegression.chrom.subset_from_all,0.5769230769230769
|
9 |
+
9,10,GPN_final.LogisticRegression.chrom.subset_from_all,1.0
|
10 |
+
11,40,GPN_final.LogisticRegression.chrom.subset_from_all,0.545911295911296
|
11 |
+
12,20,GPN_final.LogisticRegression.chrom.subset_from_all,0.75
|
12 |
+
13,10,GPN_final.LogisticRegression.chrom.subset_from_all,1.0
|
13 |
+
15,20,GPN_final.LogisticRegression.chrom.subset_from_all,0.6666666666666666
|
14 |
+
16,10,GPN_final.LogisticRegression.chrom.subset_from_all,0.1
|
15 |
+
17,70,GPN_final.LogisticRegression.chrom.subset_from_all,0.32114750895229077
|
16 |
+
18,10,GPN_final.LogisticRegression.chrom.subset_from_all,0.1
|
17 |
+
19,10,GPN_final.LogisticRegression.chrom.subset_from_all,1.0
|
18 |
+
20,30,GPN_final.LogisticRegression.chrom.subset_from_all,0.09987350822196558
|
19 |
+
21,10,GPN_final.LogisticRegression.chrom.subset_from_all,0.125
|
20 |
+
22,10,GPN_final.LogisticRegression.chrom.subset_from_all,1.0
|
complex_traits_matched_9/AUPRC_by_chrom/5_prime_UTR_variant/GPN_final_Embeddings.plus.euclidean_distance.csv
ADDED
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUPRC
|
2 |
+
1,60,GPN_final_Embeddings.plus.euclidean_distance,0.16133326549993215
|
3 |
+
2,40,GPN_final_Embeddings.plus.euclidean_distance,0.15836627140974968
|
4 |
+
3,10,GPN_final_Embeddings.plus.euclidean_distance,0.125
|
5 |
+
5,20,GPN_final_Embeddings.plus.euclidean_distance,0.29166666666666663
|
6 |
+
6,10,GPN_final_Embeddings.plus.euclidean_distance,0.1
|
7 |
+
7,10,GPN_final_Embeddings.plus.euclidean_distance,1.0
|
8 |
+
8,20,GPN_final_Embeddings.plus.euclidean_distance,0.34090909090909094
|
9 |
+
9,10,GPN_final_Embeddings.plus.euclidean_distance,1.0
|
10 |
+
11,40,GPN_final_Embeddings.plus.euclidean_distance,0.1508158508158508
|
11 |
+
12,20,GPN_final_Embeddings.plus.euclidean_distance,0.8333333333333333
|
12 |
+
13,10,GPN_final_Embeddings.plus.euclidean_distance,0.5
|
13 |
+
15,20,GPN_final_Embeddings.plus.euclidean_distance,0.5625
|
14 |
+
16,10,GPN_final_Embeddings.plus.euclidean_distance,0.1
|
15 |
+
17,70,GPN_final_Embeddings.plus.euclidean_distance,0.29059525292244187
|
16 |
+
18,10,GPN_final_Embeddings.plus.euclidean_distance,0.3333333333333333
|
17 |
+
19,10,GPN_final_Embeddings.plus.euclidean_distance,1.0
|
18 |
+
20,30,GPN_final_Embeddings.plus.euclidean_distance,0.49206349206349204
|
19 |
+
21,10,GPN_final_Embeddings.plus.euclidean_distance,0.16666666666666666
|
20 |
+
22,10,GPN_final_Embeddings.plus.euclidean_distance,0.2
|
complex_traits_matched_9/AUPRC_by_chrom/all/Borzoi.LogisticRegression.chrom.csv
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUPRC
|
2 |
+
1,1000,Borzoi.LogisticRegression.chrom,0.31741188272188353
|
3 |
+
2,900,Borzoi.LogisticRegression.chrom,0.2430209389938067
|
4 |
+
3,650,Borzoi.LogisticRegression.chrom,0.2877444860398137
|
5 |
+
4,400,Borzoi.LogisticRegression.chrom,0.25783290859857516
|
6 |
+
5,510,Borzoi.LogisticRegression.chrom,0.3304538084743173
|
7 |
+
6,780,Borzoi.LogisticRegression.chrom,0.1856847700730169
|
8 |
+
7,540,Borzoi.LogisticRegression.chrom,0.4128752494347228
|
9 |
+
8,460,Borzoi.LogisticRegression.chrom,0.24537355770690156
|
10 |
+
9,440,Borzoi.LogisticRegression.chrom,0.25348819974343206
|
11 |
+
10,510,Borzoi.LogisticRegression.chrom,0.37296347557490445
|
12 |
+
11,680,Borzoi.LogisticRegression.chrom,0.2777111445468196
|
13 |
+
12,590,Borzoi.LogisticRegression.chrom,0.344975383905532
|
14 |
+
13,200,Borzoi.LogisticRegression.chrom,0.22105669528096042
|
15 |
+
14,380,Borzoi.LogisticRegression.chrom,0.18863592355025652
|
16 |
+
15,390,Borzoi.LogisticRegression.chrom,0.3592202647825613
|
17 |
+
16,590,Borzoi.LogisticRegression.chrom,0.3481010182645027
|
18 |
+
17,560,Borzoi.LogisticRegression.chrom,0.3396009913281595
|
19 |
+
18,290,Borzoi.LogisticRegression.chrom,0.32182582989523156
|
20 |
+
19,580,Borzoi.LogisticRegression.chrom,0.3326555400059143
|
21 |
+
20,530,Borzoi.LogisticRegression.chrom,0.20765344666370758
|
22 |
+
21,140,Borzoi.LogisticRegression.chrom,0.4834396287349453
|
23 |
+
22,280,Borzoi.LogisticRegression.chrom,0.3467003686940819
|
complex_traits_matched_9/AUPRC_by_chrom/all/Borzoi_L2_L2.plus.all.csv
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUPRC
|
2 |
+
1,1000,Borzoi_L2_L2.plus.all,0.25082386971194903
|
3 |
+
2,900,Borzoi_L2_L2.plus.all,0.22793128874916385
|
4 |
+
3,650,Borzoi_L2_L2.plus.all,0.23324072617853295
|
5 |
+
4,400,Borzoi_L2_L2.plus.all,0.23143146491440436
|
6 |
+
5,510,Borzoi_L2_L2.plus.all,0.2752121711569113
|
7 |
+
6,780,Borzoi_L2_L2.plus.all,0.1533620429956356
|
8 |
+
7,540,Borzoi_L2_L2.plus.all,0.2892341806008156
|
9 |
+
8,460,Borzoi_L2_L2.plus.all,0.2038061308081117
|
10 |
+
9,440,Borzoi_L2_L2.plus.all,0.17945040165877763
|
11 |
+
10,510,Borzoi_L2_L2.plus.all,0.19275706131722783
|
12 |
+
11,680,Borzoi_L2_L2.plus.all,0.22417887229203295
|
13 |
+
12,590,Borzoi_L2_L2.plus.all,0.28940989349392354
|
14 |
+
13,200,Borzoi_L2_L2.plus.all,0.3351250276282488
|
15 |
+
14,380,Borzoi_L2_L2.plus.all,0.2167541970395474
|
16 |
+
15,390,Borzoi_L2_L2.plus.all,0.20514970024687673
|
17 |
+
16,590,Borzoi_L2_L2.plus.all,0.2752315339672838
|
18 |
+
17,560,Borzoi_L2_L2.plus.all,0.22223112217898824
|
19 |
+
18,290,Borzoi_L2_L2.plus.all,0.23274077467536675
|
20 |
+
19,580,Borzoi_L2_L2.plus.all,0.2659206073996896
|
21 |
+
20,530,Borzoi_L2_L2.plus.all,0.1965929222322787
|
22 |
+
21,140,Borzoi_L2_L2.plus.all,0.3409323336713239
|
23 |
+
22,280,Borzoi_L2_L2.plus.all,0.31079058215370015
|
complex_traits_matched_9/AUPRC_by_chrom/all/CADD+Borzoi.LogisticRegression.chrom.csv
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUPRC
|
2 |
+
1,1000,CADD+Borzoi.LogisticRegression.chrom,0.37035969617691866
|
3 |
+
2,900,CADD+Borzoi.LogisticRegression.chrom,0.30375203910307397
|
4 |
+
3,650,CADD+Borzoi.LogisticRegression.chrom,0.342926994597495
|
5 |
+
4,400,CADD+Borzoi.LogisticRegression.chrom,0.27517111057857535
|
6 |
+
5,510,CADD+Borzoi.LogisticRegression.chrom,0.37139972573846136
|
7 |
+
6,780,CADD+Borzoi.LogisticRegression.chrom,0.24687739959092103
|
8 |
+
7,540,CADD+Borzoi.LogisticRegression.chrom,0.5048333152306996
|
9 |
+
8,460,CADD+Borzoi.LogisticRegression.chrom,0.2926329675059311
|
10 |
+
9,440,CADD+Borzoi.LogisticRegression.chrom,0.3165968562291848
|
11 |
+
10,510,CADD+Borzoi.LogisticRegression.chrom,0.4592902903054013
|
12 |
+
11,680,CADD+Borzoi.LogisticRegression.chrom,0.30375070193566356
|
13 |
+
12,590,CADD+Borzoi.LogisticRegression.chrom,0.41430229462954093
|
14 |
+
13,200,CADD+Borzoi.LogisticRegression.chrom,0.27932179562137344
|
15 |
+
14,380,CADD+Borzoi.LogisticRegression.chrom,0.25573254378235305
|
16 |
+
15,390,CADD+Borzoi.LogisticRegression.chrom,0.35406653044060815
|
17 |
+
16,590,CADD+Borzoi.LogisticRegression.chrom,0.4660438298238287
|
18 |
+
17,560,CADD+Borzoi.LogisticRegression.chrom,0.3417219747713785
|
19 |
+
18,290,CADD+Borzoi.LogisticRegression.chrom,0.41600111218362323
|
20 |
+
19,580,CADD+Borzoi.LogisticRegression.chrom,0.3759039239691565
|
21 |
+
20,530,CADD+Borzoi.LogisticRegression.chrom,0.24232454154006836
|
22 |
+
21,140,CADD+Borzoi.LogisticRegression.chrom,0.4931892400960896
|
23 |
+
22,280,CADD+Borzoi.LogisticRegression.chrom,0.4161673881233333
|
complex_traits_matched_9/AUPRC_by_chrom/all/CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.csv
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUPRC
|
2 |
+
1,1000,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom,0.3853362201164778
|
3 |
+
2,900,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom,0.32159542259651785
|
4 |
+
3,650,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom,0.34582120028587715
|
5 |
+
4,400,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom,0.26732671641711586
|
6 |
+
5,510,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom,0.3545313566999582
|
7 |
+
6,780,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom,0.2780006101874612
|
8 |
+
7,540,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom,0.5083293711427324
|
9 |
+
8,460,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom,0.32511872893722005
|
10 |
+
9,440,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom,0.3304854733073365
|
11 |
+
10,510,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom,0.4528226682766041
|
12 |
+
11,680,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom,0.31988841335408613
|
13 |
+
12,590,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom,0.42600172248279194
|
14 |
+
13,200,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom,0.2804896296451016
|
15 |
+
14,380,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom,0.2843079383399692
|
16 |
+
15,390,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom,0.35279421485152807
|
17 |
+
16,590,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom,0.4899932977069238
|
18 |
+
17,560,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom,0.3319349628615004
|
19 |
+
18,290,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom,0.4198424490066049
|
20 |
+
19,580,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom,0.4012949079171859
|
21 |
+
20,530,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom,0.2661898080403725
|
22 |
+
21,140,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom,0.4753160009371189
|
23 |
+
22,280,CADD+GPN-MSA+Borzoi.LogisticRegression.chrom,0.420241461093079
|
complex_traits_matched_9/AUPRC_by_chrom/all/CADD+GPN-MSA.LogisticRegression.chrom.csv
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUPRC
|
2 |
+
1,1000,CADD+GPN-MSA.LogisticRegression.chrom,0.2796037419069574
|
3 |
+
2,900,CADD+GPN-MSA.LogisticRegression.chrom,0.2861467306509523
|
4 |
+
3,650,CADD+GPN-MSA.LogisticRegression.chrom,0.29514235309595205
|
5 |
+
4,400,CADD+GPN-MSA.LogisticRegression.chrom,0.20538890328444442
|
6 |
+
5,510,CADD+GPN-MSA.LogisticRegression.chrom,0.25795264783416033
|
7 |
+
6,780,CADD+GPN-MSA.LogisticRegression.chrom,0.2715271916148107
|
8 |
+
7,540,CADD+GPN-MSA.LogisticRegression.chrom,0.3762551537627683
|
9 |
+
8,460,CADD+GPN-MSA.LogisticRegression.chrom,0.3314140545881067
|
10 |
+
9,440,CADD+GPN-MSA.LogisticRegression.chrom,0.32829120102463755
|
11 |
+
10,510,CADD+GPN-MSA.LogisticRegression.chrom,0.32571016011519804
|
12 |
+
11,680,CADD+GPN-MSA.LogisticRegression.chrom,0.2737010868583961
|
13 |
+
12,590,CADD+GPN-MSA.LogisticRegression.chrom,0.3753367513872529
|
14 |
+
13,200,CADD+GPN-MSA.LogisticRegression.chrom,0.32336501593715705
|
15 |
+
14,380,CADD+GPN-MSA.LogisticRegression.chrom,0.33699310546579164
|
16 |
+
15,390,CADD+GPN-MSA.LogisticRegression.chrom,0.18854713004205195
|
17 |
+
16,590,CADD+GPN-MSA.LogisticRegression.chrom,0.39290591580578726
|
18 |
+
17,560,CADD+GPN-MSA.LogisticRegression.chrom,0.19914458917437572
|
19 |
+
18,290,CADD+GPN-MSA.LogisticRegression.chrom,0.36122122952887126
|
20 |
+
19,580,CADD+GPN-MSA.LogisticRegression.chrom,0.324134952646701
|
21 |
+
20,530,CADD+GPN-MSA.LogisticRegression.chrom,0.2830658975808351
|
22 |
+
21,140,CADD+GPN-MSA.LogisticRegression.chrom,0.2367588410490632
|
23 |
+
22,280,CADD+GPN-MSA.LogisticRegression.chrom,0.25806267038968234
|
complex_traits_matched_9/AUPRC_by_chrom/all/CADD.plus.RawScore.csv
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUPRC
|
2 |
+
1,1000,CADD.plus.RawScore,0.253404523997258
|
3 |
+
2,900,CADD.plus.RawScore,0.2572670244509485
|
4 |
+
3,650,CADD.plus.RawScore,0.2791741758772919
|
5 |
+
4,400,CADD.plus.RawScore,0.2160925060862359
|
6 |
+
5,510,CADD.plus.RawScore,0.25204367464509003
|
7 |
+
6,780,CADD.plus.RawScore,0.1903875876178931
|
8 |
+
7,540,CADD.plus.RawScore,0.2796104612184747
|
9 |
+
8,460,CADD.plus.RawScore,0.2049790238634493
|
10 |
+
9,440,CADD.plus.RawScore,0.22831268083563083
|
11 |
+
10,510,CADD.plus.RawScore,0.30102802515517313
|
12 |
+
11,680,CADD.plus.RawScore,0.2294309180861447
|
13 |
+
12,590,CADD.plus.RawScore,0.3127224392083721
|
14 |
+
13,200,CADD.plus.RawScore,0.33769755728882433
|
15 |
+
14,380,CADD.plus.RawScore,0.2679675420816973
|
16 |
+
15,390,CADD.plus.RawScore,0.17299998697590066
|
17 |
+
16,590,CADD.plus.RawScore,0.3336019666352084
|
18 |
+
17,560,CADD.plus.RawScore,0.1810067921552901
|
19 |
+
18,290,CADD.plus.RawScore,0.35995860087039144
|
20 |
+
19,580,CADD.plus.RawScore,0.17903264770789254
|
21 |
+
20,530,CADD.plus.RawScore,0.26715090440785233
|
22 |
+
21,140,CADD.plus.RawScore,0.19520299458487064
|
23 |
+
22,280,CADD.plus.RawScore,0.23933518309144974
|
complex_traits_matched_9/AUPRC_by_chrom/all/Caduceus.LogisticRegression.chrom.csv
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUPRC
|
2 |
+
1,1000,Caduceus.LogisticRegression.chrom,0.1346065468574194
|
3 |
+
2,900,Caduceus.LogisticRegression.chrom,0.14949479068472787
|
4 |
+
3,650,Caduceus.LogisticRegression.chrom,0.15377586950460168
|
5 |
+
4,400,Caduceus.LogisticRegression.chrom,0.19528999191798846
|
6 |
+
5,510,Caduceus.LogisticRegression.chrom,0.12013342863871672
|
7 |
+
6,780,Caduceus.LogisticRegression.chrom,0.1266891797383436
|
8 |
+
7,540,Caduceus.LogisticRegression.chrom,0.18544573663865208
|
9 |
+
8,460,Caduceus.LogisticRegression.chrom,0.20572320465540966
|
10 |
+
9,440,Caduceus.LogisticRegression.chrom,0.09869599064979145
|
11 |
+
10,510,Caduceus.LogisticRegression.chrom,0.14014708408058846
|
12 |
+
11,680,Caduceus.LogisticRegression.chrom,0.10937431864457588
|
13 |
+
12,590,Caduceus.LogisticRegression.chrom,0.20547309410119838
|
14 |
+
13,200,Caduceus.LogisticRegression.chrom,0.1622973302736687
|
15 |
+
14,380,Caduceus.LogisticRegression.chrom,0.16935820016872347
|
16 |
+
15,390,Caduceus.LogisticRegression.chrom,0.14860690939463833
|
17 |
+
16,590,Caduceus.LogisticRegression.chrom,0.11882492545165854
|
18 |
+
17,560,Caduceus.LogisticRegression.chrom,0.1710885092972586
|
19 |
+
18,290,Caduceus.LogisticRegression.chrom,0.13988123740978559
|
20 |
+
19,580,Caduceus.LogisticRegression.chrom,0.16472845788430257
|
21 |
+
20,530,Caduceus.LogisticRegression.chrom,0.13267949215096714
|
22 |
+
21,140,Caduceus.LogisticRegression.chrom,0.16764732330517254
|
23 |
+
22,280,Caduceus.LogisticRegression.chrom,0.20132645656879788
|
complex_traits_matched_9/AUPRC_by_chrom/all/Caduceus_Embeddings.minus.inner_product.csv
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUPRC
|
2 |
+
1,1000,Caduceus_Embeddings.minus.inner_product,0.08845395896416408
|
3 |
+
2,900,Caduceus_Embeddings.minus.inner_product,0.09624844439524526
|
4 |
+
3,650,Caduceus_Embeddings.minus.inner_product,0.12664355940047406
|
5 |
+
4,400,Caduceus_Embeddings.minus.inner_product,0.11743076534463412
|
6 |
+
5,510,Caduceus_Embeddings.minus.inner_product,0.15482194783603126
|
7 |
+
6,780,Caduceus_Embeddings.minus.inner_product,0.14029813503099225
|
8 |
+
7,540,Caduceus_Embeddings.minus.inner_product,0.07809308473618162
|
9 |
+
8,460,Caduceus_Embeddings.minus.inner_product,0.12347596735335443
|
10 |
+
9,440,Caduceus_Embeddings.minus.inner_product,0.10692635234909928
|
11 |
+
10,510,Caduceus_Embeddings.minus.inner_product,0.09172641467951978
|
12 |
+
11,680,Caduceus_Embeddings.minus.inner_product,0.16599336979450874
|
13 |
+
12,590,Caduceus_Embeddings.minus.inner_product,0.1612798411875614
|
14 |
+
13,200,Caduceus_Embeddings.minus.inner_product,0.17541293371502092
|
15 |
+
14,380,Caduceus_Embeddings.minus.inner_product,0.11374269692996161
|
16 |
+
15,390,Caduceus_Embeddings.minus.inner_product,0.09041114516376765
|
17 |
+
16,590,Caduceus_Embeddings.minus.inner_product,0.10052262518430252
|
18 |
+
17,560,Caduceus_Embeddings.minus.inner_product,0.14138239200325106
|
19 |
+
18,290,Caduceus_Embeddings.minus.inner_product,0.12120216218019729
|
20 |
+
19,580,Caduceus_Embeddings.minus.inner_product,0.09082571188961237
|
21 |
+
20,530,Caduceus_Embeddings.minus.inner_product,0.11448144330552518
|
22 |
+
21,140,Caduceus_Embeddings.minus.inner_product,0.08050103390123062
|
23 |
+
22,280,Caduceus_Embeddings.minus.inner_product,0.08822091137230392
|
complex_traits_matched_9/AUPRC_by_chrom/all/Caduceus_Embeddings.plus.euclidean_distance.csv
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUPRC
|
2 |
+
1,1000,Caduceus_Embeddings.plus.euclidean_distance,0.1204864667479996
|
3 |
+
2,900,Caduceus_Embeddings.plus.euclidean_distance,0.10750397060555475
|
4 |
+
3,650,Caduceus_Embeddings.plus.euclidean_distance,0.12735121481342881
|
5 |
+
4,400,Caduceus_Embeddings.plus.euclidean_distance,0.10160367385272051
|
6 |
+
5,510,Caduceus_Embeddings.plus.euclidean_distance,0.09906252912028293
|
7 |
+
6,780,Caduceus_Embeddings.plus.euclidean_distance,0.0949037598489115
|
8 |
+
7,540,Caduceus_Embeddings.plus.euclidean_distance,0.10883999326077856
|
9 |
+
8,460,Caduceus_Embeddings.plus.euclidean_distance,0.11945606190126912
|
10 |
+
9,440,Caduceus_Embeddings.plus.euclidean_distance,0.08707552779904965
|
11 |
+
10,510,Caduceus_Embeddings.plus.euclidean_distance,0.10818165138038828
|
12 |
+
11,680,Caduceus_Embeddings.plus.euclidean_distance,0.10779901974484975
|
13 |
+
12,590,Caduceus_Embeddings.plus.euclidean_distance,0.11001899274738172
|
14 |
+
13,200,Caduceus_Embeddings.plus.euclidean_distance,0.17600140221116328
|
15 |
+
14,380,Caduceus_Embeddings.plus.euclidean_distance,0.11310224822307453
|
16 |
+
15,390,Caduceus_Embeddings.plus.euclidean_distance,0.12393474704794183
|
17 |
+
16,590,Caduceus_Embeddings.plus.euclidean_distance,0.11165246940222162
|
18 |
+
17,560,Caduceus_Embeddings.plus.euclidean_distance,0.14672147081056583
|
19 |
+
18,290,Caduceus_Embeddings.plus.euclidean_distance,0.09225634017424086
|
20 |
+
19,580,Caduceus_Embeddings.plus.euclidean_distance,0.1153609020064011
|
21 |
+
20,530,Caduceus_Embeddings.plus.euclidean_distance,0.15296372955809745
|
22 |
+
21,140,Caduceus_Embeddings.plus.euclidean_distance,0.11413615664017708
|
23 |
+
22,280,Caduceus_Embeddings.plus.euclidean_distance,0.11380942790420615
|
complex_traits_matched_9/AUPRC_by_chrom/all/Caduceus_LLR.minus.score.csv
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUPRC
|
2 |
+
1,1000,Caduceus_LLR.minus.score,0.09983932459005648
|
3 |
+
2,900,Caduceus_LLR.minus.score,0.09604478279349868
|
4 |
+
3,650,Caduceus_LLR.minus.score,0.10273581208305359
|
5 |
+
4,400,Caduceus_LLR.minus.score,0.09549455672789403
|
6 |
+
5,510,Caduceus_LLR.minus.score,0.09622542721060089
|
7 |
+
6,780,Caduceus_LLR.minus.score,0.10636521535205813
|
8 |
+
7,540,Caduceus_LLR.minus.score,0.08274779328172
|
9 |
+
8,460,Caduceus_LLR.minus.score,0.08706912738780859
|
10 |
+
9,440,Caduceus_LLR.minus.score,0.08988827347201427
|
11 |
+
10,510,Caduceus_LLR.minus.score,0.09939277539256745
|
12 |
+
11,680,Caduceus_LLR.minus.score,0.0993144047187179
|
13 |
+
12,590,Caduceus_LLR.minus.score,0.11090499867813726
|
14 |
+
13,200,Caduceus_LLR.minus.score,0.09011937861593204
|
15 |
+
14,380,Caduceus_LLR.minus.score,0.11413688148222792
|
16 |
+
15,390,Caduceus_LLR.minus.score,0.09125874261881345
|
17 |
+
16,590,Caduceus_LLR.minus.score,0.08773637807940196
|
18 |
+
17,560,Caduceus_LLR.minus.score,0.0997385425325738
|
19 |
+
18,290,Caduceus_LLR.minus.score,0.08446258273658933
|
20 |
+
19,580,Caduceus_LLR.minus.score,0.09507775020670994
|
21 |
+
20,530,Caduceus_LLR.minus.score,0.09318641741889334
|
22 |
+
21,140,Caduceus_LLR.minus.score,0.12145765925485486
|
23 |
+
22,280,Caduceus_LLR.minus.score,0.13731106676973187
|
complex_traits_matched_9/AUPRC_by_chrom/all/Caduceus_absLLR.plus.score.csv
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUPRC
|
2 |
+
1,1000,Caduceus_absLLR.plus.score,0.1035890257304315
|
3 |
+
2,900,Caduceus_absLLR.plus.score,0.08948296932897132
|
4 |
+
3,650,Caduceus_absLLR.plus.score,0.09565449646159219
|
5 |
+
4,400,Caduceus_absLLR.plus.score,0.0996276210138255
|
6 |
+
5,510,Caduceus_absLLR.plus.score,0.08421423517151204
|
7 |
+
6,780,Caduceus_absLLR.plus.score,0.10048020734577735
|
8 |
+
7,540,Caduceus_absLLR.plus.score,0.10253569427832823
|
9 |
+
8,460,Caduceus_absLLR.plus.score,0.0863276195022481
|
10 |
+
9,440,Caduceus_absLLR.plus.score,0.08655610416719896
|
11 |
+
10,510,Caduceus_absLLR.plus.score,0.11070353386979562
|
12 |
+
11,680,Caduceus_absLLR.plus.score,0.09496990511189893
|
13 |
+
12,590,Caduceus_absLLR.plus.score,0.09470286549450659
|
14 |
+
13,200,Caduceus_absLLR.plus.score,0.08964602073348478
|
15 |
+
14,380,Caduceus_absLLR.plus.score,0.11638881117167985
|
16 |
+
15,390,Caduceus_absLLR.plus.score,0.07798357850181206
|
17 |
+
16,590,Caduceus_absLLR.plus.score,0.09175228048586298
|
18 |
+
17,560,Caduceus_absLLR.plus.score,0.09917758761514979
|
19 |
+
18,290,Caduceus_absLLR.plus.score,0.1177039397022673
|
20 |
+
19,580,Caduceus_absLLR.plus.score,0.10129858599446646
|
21 |
+
20,530,Caduceus_absLLR.plus.score,0.0884740747324873
|
22 |
+
21,140,Caduceus_absLLR.plus.score,0.09534819089020218
|
23 |
+
22,280,Caduceus_absLLR.plus.score,0.12223446377562852
|
complex_traits_matched_9/AUPRC_by_chrom/all/Enformer.LogisticRegression.chrom.csv
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUPRC
|
2 |
+
1,1000,Enformer.LogisticRegression.chrom,0.31490977966231193
|
3 |
+
2,900,Enformer.LogisticRegression.chrom,0.2361345012038101
|
4 |
+
3,650,Enformer.LogisticRegression.chrom,0.3028313912083205
|
5 |
+
4,400,Enformer.LogisticRegression.chrom,0.2822183582097364
|
6 |
+
5,510,Enformer.LogisticRegression.chrom,0.33318194991417704
|
7 |
+
6,780,Enformer.LogisticRegression.chrom,0.2440470375640832
|
8 |
+
7,540,Enformer.LogisticRegression.chrom,0.36610915521611703
|
9 |
+
8,460,Enformer.LogisticRegression.chrom,0.3198073614270622
|
10 |
+
9,440,Enformer.LogisticRegression.chrom,0.2885274947439682
|
11 |
+
10,510,Enformer.LogisticRegression.chrom,0.299136510907323
|
12 |
+
11,680,Enformer.LogisticRegression.chrom,0.30821610379966724
|
13 |
+
12,590,Enformer.LogisticRegression.chrom,0.37133729598429327
|
14 |
+
13,200,Enformer.LogisticRegression.chrom,0.2161876851234389
|
15 |
+
14,380,Enformer.LogisticRegression.chrom,0.2518028825308492
|
16 |
+
15,390,Enformer.LogisticRegression.chrom,0.3031284007023935
|
17 |
+
16,590,Enformer.LogisticRegression.chrom,0.3779149000884324
|
18 |
+
17,560,Enformer.LogisticRegression.chrom,0.28664252355836983
|
19 |
+
18,290,Enformer.LogisticRegression.chrom,0.30205576325108285
|
20 |
+
19,580,Enformer.LogisticRegression.chrom,0.3325056765938028
|
21 |
+
20,530,Enformer.LogisticRegression.chrom,0.23570855954935474
|
22 |
+
21,140,Enformer.LogisticRegression.chrom,0.4297595612044418
|
23 |
+
22,280,Enformer.LogisticRegression.chrom,0.36275415918659926
|
complex_traits_matched_9/AUPRC_by_chrom/all/Enformer_L2_L2.plus.all.csv
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUPRC
|
2 |
+
1,1000,Enformer_L2_L2.plus.all,0.23973663127666334
|
3 |
+
2,900,Enformer_L2_L2.plus.all,0.24124634165109654
|
4 |
+
3,650,Enformer_L2_L2.plus.all,0.2752267971558085
|
5 |
+
4,400,Enformer_L2_L2.plus.all,0.2532118470364702
|
6 |
+
5,510,Enformer_L2_L2.plus.all,0.25139909054279475
|
7 |
+
6,780,Enformer_L2_L2.plus.all,0.17148300345928846
|
8 |
+
7,540,Enformer_L2_L2.plus.all,0.2730208887161613
|
9 |
+
8,460,Enformer_L2_L2.plus.all,0.2608277525738167
|
10 |
+
9,440,Enformer_L2_L2.plus.all,0.22456467536307667
|
11 |
+
10,510,Enformer_L2_L2.plus.all,0.2294025145555673
|
12 |
+
11,680,Enformer_L2_L2.plus.all,0.233474924734333
|
13 |
+
12,590,Enformer_L2_L2.plus.all,0.2620268542874982
|
14 |
+
13,200,Enformer_L2_L2.plus.all,0.30801876303657405
|
15 |
+
14,380,Enformer_L2_L2.plus.all,0.24175364005193917
|
16 |
+
15,390,Enformer_L2_L2.plus.all,0.20299229780710365
|
17 |
+
16,590,Enformer_L2_L2.plus.all,0.2692164667243025
|
18 |
+
17,560,Enformer_L2_L2.plus.all,0.2263283623640106
|
19 |
+
18,290,Enformer_L2_L2.plus.all,0.26846515931653414
|
20 |
+
19,580,Enformer_L2_L2.plus.all,0.28954427159268836
|
21 |
+
20,530,Enformer_L2_L2.plus.all,0.19063035093554306
|
22 |
+
21,140,Enformer_L2_L2.plus.all,0.296023235797051
|
23 |
+
22,280,Enformer_L2_L2.plus.all,0.3294300497364697
|
complex_traits_matched_9/AUPRC_by_chrom/all/GPN-MSA+Borzoi.LogisticRegression.chrom.csv
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUPRC
|
2 |
+
1,1000,GPN-MSA+Borzoi.LogisticRegression.chrom,0.36832103382075254
|
3 |
+
2,900,GPN-MSA+Borzoi.LogisticRegression.chrom,0.310341058552426
|
4 |
+
3,650,GPN-MSA+Borzoi.LogisticRegression.chrom,0.30516327322240366
|
5 |
+
4,400,GPN-MSA+Borzoi.LogisticRegression.chrom,0.23435381234831018
|
6 |
+
5,510,GPN-MSA+Borzoi.LogisticRegression.chrom,0.3474184736558289
|
7 |
+
6,780,GPN-MSA+Borzoi.LogisticRegression.chrom,0.26802427278463425
|
8 |
+
7,540,GPN-MSA+Borzoi.LogisticRegression.chrom,0.471226123078238
|
9 |
+
8,460,GPN-MSA+Borzoi.LogisticRegression.chrom,0.3167540399021604
|
10 |
+
9,440,GPN-MSA+Borzoi.LogisticRegression.chrom,0.3201944311901143
|
11 |
+
10,510,GPN-MSA+Borzoi.LogisticRegression.chrom,0.4335799921740833
|
12 |
+
11,680,GPN-MSA+Borzoi.LogisticRegression.chrom,0.3075483979483384
|
13 |
+
12,590,GPN-MSA+Borzoi.LogisticRegression.chrom,0.4105477781826642
|
14 |
+
13,200,GPN-MSA+Borzoi.LogisticRegression.chrom,0.2601393321120712
|
15 |
+
14,380,GPN-MSA+Borzoi.LogisticRegression.chrom,0.26158703556965274
|
16 |
+
15,390,GPN-MSA+Borzoi.LogisticRegression.chrom,0.35154879910399683
|
17 |
+
16,590,GPN-MSA+Borzoi.LogisticRegression.chrom,0.49353463857505686
|
18 |
+
17,560,GPN-MSA+Borzoi.LogisticRegression.chrom,0.3496453429335925
|
19 |
+
18,290,GPN-MSA+Borzoi.LogisticRegression.chrom,0.39075930302312134
|
20 |
+
19,580,GPN-MSA+Borzoi.LogisticRegression.chrom,0.3950839111874811
|
21 |
+
20,530,GPN-MSA+Borzoi.LogisticRegression.chrom,0.26084060818905797
|
22 |
+
21,140,GPN-MSA+Borzoi.LogisticRegression.chrom,0.5370040005281445
|
23 |
+
22,280,GPN-MSA+Borzoi.LogisticRegression.chrom,0.38859135195521777
|
complex_traits_matched_9/AUPRC_by_chrom/all/GPN-MSA.LogisticRegression.chrom.csv
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUPRC
|
2 |
+
1,1000,GPN-MSA.LogisticRegression.chrom,0.2375639761651711
|
3 |
+
2,900,GPN-MSA.LogisticRegression.chrom,0.2644487356997337
|
4 |
+
3,650,GPN-MSA.LogisticRegression.chrom,0.2314553521759471
|
5 |
+
4,400,GPN-MSA.LogisticRegression.chrom,0.1778387269968198
|
6 |
+
5,510,GPN-MSA.LogisticRegression.chrom,0.25878424205751593
|
7 |
+
6,780,GPN-MSA.LogisticRegression.chrom,0.2514683200147566
|
8 |
+
7,540,GPN-MSA.LogisticRegression.chrom,0.3428554709749565
|
9 |
+
8,460,GPN-MSA.LogisticRegression.chrom,0.3305323646835661
|
10 |
+
9,440,GPN-MSA.LogisticRegression.chrom,0.27006276035821897
|
11 |
+
10,510,GPN-MSA.LogisticRegression.chrom,0.34233300906092023
|
12 |
+
11,680,GPN-MSA.LogisticRegression.chrom,0.23336485756430955
|
13 |
+
12,590,GPN-MSA.LogisticRegression.chrom,0.32926250992962214
|
14 |
+
13,200,GPN-MSA.LogisticRegression.chrom,0.2935252933525652
|
15 |
+
14,380,GPN-MSA.LogisticRegression.chrom,0.29003756319747337
|
16 |
+
15,390,GPN-MSA.LogisticRegression.chrom,0.19652091579757985
|
17 |
+
16,590,GPN-MSA.LogisticRegression.chrom,0.36750891594147894
|
18 |
+
17,560,GPN-MSA.LogisticRegression.chrom,0.19456708529802372
|
19 |
+
18,290,GPN-MSA.LogisticRegression.chrom,0.3110116242279891
|
20 |
+
19,580,GPN-MSA.LogisticRegression.chrom,0.3150892738642796
|
21 |
+
20,530,GPN-MSA.LogisticRegression.chrom,0.24374172057126625
|
22 |
+
21,140,GPN-MSA.LogisticRegression.chrom,0.18212577499958077
|
23 |
+
22,280,GPN-MSA.LogisticRegression.chrom,0.22553969747513924
|
complex_traits_matched_9/AUPRC_by_chrom/all/GPN-MSA_Embeddings.minus.inner_product.csv
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUPRC
|
2 |
+
1,1000,GPN-MSA_Embeddings.minus.inner_product,0.1671515768725395
|
3 |
+
2,900,GPN-MSA_Embeddings.minus.inner_product,0.15987977591533442
|
4 |
+
3,650,GPN-MSA_Embeddings.minus.inner_product,0.14957824495204128
|
5 |
+
4,400,GPN-MSA_Embeddings.minus.inner_product,0.12966725947407629
|
6 |
+
5,510,GPN-MSA_Embeddings.minus.inner_product,0.22058612998759486
|
7 |
+
6,780,GPN-MSA_Embeddings.minus.inner_product,0.17315968171453394
|
8 |
+
7,540,GPN-MSA_Embeddings.minus.inner_product,0.20156917776529254
|
9 |
+
8,460,GPN-MSA_Embeddings.minus.inner_product,0.19003354684204393
|
10 |
+
9,440,GPN-MSA_Embeddings.minus.inner_product,0.166219796782249
|
11 |
+
10,510,GPN-MSA_Embeddings.minus.inner_product,0.20732809441463937
|
12 |
+
11,680,GPN-MSA_Embeddings.minus.inner_product,0.12118246325872026
|
13 |
+
12,590,GPN-MSA_Embeddings.minus.inner_product,0.23675203631068692
|
14 |
+
13,200,GPN-MSA_Embeddings.minus.inner_product,0.18966925989338917
|
15 |
+
14,380,GPN-MSA_Embeddings.minus.inner_product,0.2313749997975372
|
16 |
+
15,390,GPN-MSA_Embeddings.minus.inner_product,0.1622565172232603
|
17 |
+
16,590,GPN-MSA_Embeddings.minus.inner_product,0.27288596799824455
|
18 |
+
17,560,GPN-MSA_Embeddings.minus.inner_product,0.16440016927169698
|
19 |
+
18,290,GPN-MSA_Embeddings.minus.inner_product,0.2666217842518999
|
20 |
+
19,580,GPN-MSA_Embeddings.minus.inner_product,0.10548321544332562
|
21 |
+
20,530,GPN-MSA_Embeddings.minus.inner_product,0.1386586646609989
|
22 |
+
21,140,GPN-MSA_Embeddings.minus.inner_product,0.11156267993012921
|
23 |
+
22,280,GPN-MSA_Embeddings.minus.inner_product,0.1345387388345882
|
complex_traits_matched_9/AUPRC_by_chrom/all/GPN-MSA_Embeddings.plus.cosine_distance.csv
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUPRC
|
2 |
+
1,1000,GPN-MSA_Embeddings.plus.cosine_distance,0.14795407469670518
|
3 |
+
2,900,GPN-MSA_Embeddings.plus.cosine_distance,0.15045923210424159
|
4 |
+
3,650,GPN-MSA_Embeddings.plus.cosine_distance,0.11608392132280479
|
5 |
+
4,400,GPN-MSA_Embeddings.plus.cosine_distance,0.12288442556950463
|
6 |
+
5,510,GPN-MSA_Embeddings.plus.cosine_distance,0.1728590696814522
|
7 |
+
6,780,GPN-MSA_Embeddings.plus.cosine_distance,0.1521805869264849
|
8 |
+
7,540,GPN-MSA_Embeddings.plus.cosine_distance,0.1659354654040957
|
9 |
+
8,460,GPN-MSA_Embeddings.plus.cosine_distance,0.1669355285751392
|
10 |
+
9,440,GPN-MSA_Embeddings.plus.cosine_distance,0.1352652129443637
|
11 |
+
10,510,GPN-MSA_Embeddings.plus.cosine_distance,0.16081153221402766
|
12 |
+
11,680,GPN-MSA_Embeddings.plus.cosine_distance,0.10664814858987222
|
13 |
+
12,590,GPN-MSA_Embeddings.plus.cosine_distance,0.18958814776195235
|
14 |
+
13,200,GPN-MSA_Embeddings.plus.cosine_distance,0.17891623573947085
|
15 |
+
14,380,GPN-MSA_Embeddings.plus.cosine_distance,0.2144958107460348
|
16 |
+
15,390,GPN-MSA_Embeddings.plus.cosine_distance,0.14026494474642145
|
17 |
+
16,590,GPN-MSA_Embeddings.plus.cosine_distance,0.19021401775218283
|
18 |
+
17,560,GPN-MSA_Embeddings.plus.cosine_distance,0.16557496286618134
|
19 |
+
18,290,GPN-MSA_Embeddings.plus.cosine_distance,0.20220597183118383
|
20 |
+
19,580,GPN-MSA_Embeddings.plus.cosine_distance,0.09907862417606018
|
21 |
+
20,530,GPN-MSA_Embeddings.plus.cosine_distance,0.11810623492124504
|
22 |
+
21,140,GPN-MSA_Embeddings.plus.cosine_distance,0.1089838357795585
|
23 |
+
22,280,GPN-MSA_Embeddings.plus.cosine_distance,0.12333824286615518
|
complex_traits_matched_9/AUPRC_by_chrom/all/GPN-MSA_Embeddings.plus.euclidean_distance.csv
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUPRC
|
2 |
+
1,1000,GPN-MSA_Embeddings.plus.euclidean_distance,0.14767762485823704
|
3 |
+
2,900,GPN-MSA_Embeddings.plus.euclidean_distance,0.1503611795213113
|
4 |
+
3,650,GPN-MSA_Embeddings.plus.euclidean_distance,0.11584801568090876
|
5 |
+
4,400,GPN-MSA_Embeddings.plus.euclidean_distance,0.12494600977918993
|
6 |
+
5,510,GPN-MSA_Embeddings.plus.euclidean_distance,0.17323693492320913
|
7 |
+
6,780,GPN-MSA_Embeddings.plus.euclidean_distance,0.1525592858180847
|
8 |
+
7,540,GPN-MSA_Embeddings.plus.euclidean_distance,0.165399582731275
|
9 |
+
8,460,GPN-MSA_Embeddings.plus.euclidean_distance,0.16661218941213218
|
10 |
+
9,440,GPN-MSA_Embeddings.plus.euclidean_distance,0.1350606427665239
|
11 |
+
10,510,GPN-MSA_Embeddings.plus.euclidean_distance,0.1605884385491827
|
12 |
+
11,680,GPN-MSA_Embeddings.plus.euclidean_distance,0.10657997446237864
|
13 |
+
12,590,GPN-MSA_Embeddings.plus.euclidean_distance,0.18936356699543072
|
14 |
+
13,200,GPN-MSA_Embeddings.plus.euclidean_distance,0.1789475618793943
|
15 |
+
14,380,GPN-MSA_Embeddings.plus.euclidean_distance,0.21483006748220057
|
16 |
+
15,390,GPN-MSA_Embeddings.plus.euclidean_distance,0.1402105965895757
|
17 |
+
16,590,GPN-MSA_Embeddings.plus.euclidean_distance,0.18990237012883662
|
18 |
+
17,560,GPN-MSA_Embeddings.plus.euclidean_distance,0.1644445784212251
|
19 |
+
18,290,GPN-MSA_Embeddings.plus.euclidean_distance,0.20204927950015217
|
20 |
+
19,580,GPN-MSA_Embeddings.plus.euclidean_distance,0.09907248938879763
|
21 |
+
20,530,GPN-MSA_Embeddings.plus.euclidean_distance,0.11805233169443594
|
22 |
+
21,140,GPN-MSA_Embeddings.plus.euclidean_distance,0.10921949647548111
|
23 |
+
22,280,GPN-MSA_Embeddings.plus.euclidean_distance,0.12329876061652652
|
complex_traits_matched_9/AUPRC_by_chrom/all/GPN-MSA_LLR.minus.score.csv
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUPRC
|
2 |
+
1,1000,GPN-MSA_LLR.minus.score,0.22222889984454036
|
3 |
+
2,900,GPN-MSA_LLR.minus.score,0.20062033875230179
|
4 |
+
3,650,GPN-MSA_LLR.minus.score,0.217009486276459
|
5 |
+
4,400,GPN-MSA_LLR.minus.score,0.1326814165901014
|
6 |
+
5,510,GPN-MSA_LLR.minus.score,0.2577784780799689
|
7 |
+
6,780,GPN-MSA_LLR.minus.score,0.14909491583210743
|
8 |
+
7,540,GPN-MSA_LLR.minus.score,0.2198991418700777
|
9 |
+
8,460,GPN-MSA_LLR.minus.score,0.23421349009968337
|
10 |
+
9,440,GPN-MSA_LLR.minus.score,0.21049591587285502
|
11 |
+
10,510,GPN-MSA_LLR.minus.score,0.30753776125860294
|
12 |
+
11,680,GPN-MSA_LLR.minus.score,0.20865744759885385
|
13 |
+
12,590,GPN-MSA_LLR.minus.score,0.26146390727406604
|
14 |
+
13,200,GPN-MSA_LLR.minus.score,0.2238194317697762
|
15 |
+
14,380,GPN-MSA_LLR.minus.score,0.23063347001851586
|
16 |
+
15,390,GPN-MSA_LLR.minus.score,0.14117737076990838
|
17 |
+
16,590,GPN-MSA_LLR.minus.score,0.2509206359560131
|
18 |
+
17,560,GPN-MSA_LLR.minus.score,0.15341906161897395
|
19 |
+
18,290,GPN-MSA_LLR.minus.score,0.32815696353706036
|
20 |
+
19,580,GPN-MSA_LLR.minus.score,0.1791832516675313
|
21 |
+
20,530,GPN-MSA_LLR.minus.score,0.18978021373174958
|
22 |
+
21,140,GPN-MSA_LLR.minus.score,0.2304348978524557
|
23 |
+
22,280,GPN-MSA_LLR.minus.score,0.17832725322813345
|
complex_traits_matched_9/AUPRC_by_chrom/all/GPN-MSA_absLLR.plus.score.csv
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUPRC
|
2 |
+
1,1000,GPN-MSA_absLLR.plus.score,0.2183074615931816
|
3 |
+
2,900,GPN-MSA_absLLR.plus.score,0.20293218890812348
|
4 |
+
3,650,GPN-MSA_absLLR.plus.score,0.24633690293330254
|
5 |
+
4,400,GPN-MSA_absLLR.plus.score,0.16140378317697676
|
6 |
+
5,510,GPN-MSA_absLLR.plus.score,0.2632692887968363
|
7 |
+
6,780,GPN-MSA_absLLR.plus.score,0.1641432011578054
|
8 |
+
7,540,GPN-MSA_absLLR.plus.score,0.2621250604904423
|
9 |
+
8,460,GPN-MSA_absLLR.plus.score,0.2527160109056032
|
10 |
+
9,440,GPN-MSA_absLLR.plus.score,0.28142290305616957
|
11 |
+
10,510,GPN-MSA_absLLR.plus.score,0.293668623798199
|
12 |
+
11,680,GPN-MSA_absLLR.plus.score,0.1913936751133686
|
13 |
+
12,590,GPN-MSA_absLLR.plus.score,0.258146496141598
|
14 |
+
13,200,GPN-MSA_absLLR.plus.score,0.2003773161585069
|
15 |
+
14,380,GPN-MSA_absLLR.plus.score,0.24152630895355215
|
16 |
+
15,390,GPN-MSA_absLLR.plus.score,0.16907087620069683
|
17 |
+
16,590,GPN-MSA_absLLR.plus.score,0.2854962587245968
|
18 |
+
17,560,GPN-MSA_absLLR.plus.score,0.1595079753193567
|
19 |
+
18,290,GPN-MSA_absLLR.plus.score,0.282558578060164
|
20 |
+
19,580,GPN-MSA_absLLR.plus.score,0.17685681727452673
|
21 |
+
20,530,GPN-MSA_absLLR.plus.score,0.2419722114157222
|
22 |
+
21,140,GPN-MSA_absLLR.plus.score,0.13870280596605528
|
23 |
+
22,280,GPN-MSA_absLLR.plus.score,0.21433433492236095
|
complex_traits_matched_9/AUPRC_by_chrom/all/GPN_final.LogisticRegression.chrom.csv
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUPRC
|
2 |
+
1,1000,GPN_final.LogisticRegression.chrom,0.18300657553787741
|
3 |
+
2,900,GPN_final.LogisticRegression.chrom,0.15150468585958962
|
4 |
+
3,650,GPN_final.LogisticRegression.chrom,0.13188777273290958
|
5 |
+
4,400,GPN_final.LogisticRegression.chrom,0.2399493570334364
|
6 |
+
5,510,GPN_final.LogisticRegression.chrom,0.1864699947429141
|
7 |
+
6,780,GPN_final.LogisticRegression.chrom,0.14741746856798071
|
8 |
+
7,540,GPN_final.LogisticRegression.chrom,0.17659199273415102
|
9 |
+
8,460,GPN_final.LogisticRegression.chrom,0.1651750292229202
|
10 |
+
9,440,GPN_final.LogisticRegression.chrom,0.1764087788562902
|
11 |
+
10,510,GPN_final.LogisticRegression.chrom,0.18447734137914623
|
12 |
+
11,680,GPN_final.LogisticRegression.chrom,0.17084594309467804
|
13 |
+
12,590,GPN_final.LogisticRegression.chrom,0.22101277706496608
|
14 |
+
13,200,GPN_final.LogisticRegression.chrom,0.2128703461081073
|
15 |
+
14,380,GPN_final.LogisticRegression.chrom,0.190402766751731
|
16 |
+
15,390,GPN_final.LogisticRegression.chrom,0.20908850637810206
|
17 |
+
16,590,GPN_final.LogisticRegression.chrom,0.19936016836246068
|
18 |
+
17,560,GPN_final.LogisticRegression.chrom,0.18627889894382826
|
19 |
+
18,290,GPN_final.LogisticRegression.chrom,0.29987397133771676
|
20 |
+
19,580,GPN_final.LogisticRegression.chrom,0.22762171178994609
|
21 |
+
20,530,GPN_final.LogisticRegression.chrom,0.20245642116969215
|
22 |
+
21,140,GPN_final.LogisticRegression.chrom,0.16711155727901272
|
23 |
+
22,280,GPN_final.LogisticRegression.chrom,0.20914017332356066
|
complex_traits_matched_9/AUPRC_by_chrom/all/GPN_final_Embeddings.minus.inner_product.csv
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUPRC
|
2 |
+
1,1000,GPN_final_Embeddings.minus.inner_product,0.11515479260666298
|
3 |
+
2,900,GPN_final_Embeddings.minus.inner_product,0.14091500374801585
|
4 |
+
3,650,GPN_final_Embeddings.minus.inner_product,0.13140893652063174
|
5 |
+
4,400,GPN_final_Embeddings.minus.inner_product,0.10929724487121659
|
6 |
+
5,510,GPN_final_Embeddings.minus.inner_product,0.10808147718414976
|
7 |
+
6,780,GPN_final_Embeddings.minus.inner_product,0.11760105385019372
|
8 |
+
7,540,GPN_final_Embeddings.minus.inner_product,0.16602457916914032
|
9 |
+
8,460,GPN_final_Embeddings.minus.inner_product,0.10017928427820078
|
10 |
+
9,440,GPN_final_Embeddings.minus.inner_product,0.15442316764405278
|
11 |
+
10,510,GPN_final_Embeddings.minus.inner_product,0.10965519934645415
|
12 |
+
11,680,GPN_final_Embeddings.minus.inner_product,0.11055536713993944
|
13 |
+
12,590,GPN_final_Embeddings.minus.inner_product,0.11527711224401087
|
14 |
+
13,200,GPN_final_Embeddings.minus.inner_product,0.14780366679783727
|
15 |
+
14,380,GPN_final_Embeddings.minus.inner_product,0.11950171248381074
|
16 |
+
15,390,GPN_final_Embeddings.minus.inner_product,0.16985070662199375
|
17 |
+
16,590,GPN_final_Embeddings.minus.inner_product,0.12081674405481617
|
18 |
+
17,560,GPN_final_Embeddings.minus.inner_product,0.10323978895698802
|
19 |
+
18,290,GPN_final_Embeddings.minus.inner_product,0.13826895402526193
|
20 |
+
19,580,GPN_final_Embeddings.minus.inner_product,0.10248392152821428
|
21 |
+
20,530,GPN_final_Embeddings.minus.inner_product,0.12058310324174178
|
22 |
+
21,140,GPN_final_Embeddings.minus.inner_product,0.1431136270327795
|
23 |
+
22,280,GPN_final_Embeddings.minus.inner_product,0.1643005141713425
|
complex_traits_matched_9/AUPRC_by_chrom/all/GPN_final_Embeddings.plus.cosine_distance.csv
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUPRC
|
2 |
+
1,1000,GPN_final_Embeddings.plus.cosine_distance,0.10492322876510199
|
3 |
+
2,900,GPN_final_Embeddings.plus.cosine_distance,0.1227346827311873
|
4 |
+
3,650,GPN_final_Embeddings.plus.cosine_distance,0.13619671662477265
|
5 |
+
4,400,GPN_final_Embeddings.plus.cosine_distance,0.1382681358557598
|
6 |
+
5,510,GPN_final_Embeddings.plus.cosine_distance,0.12003352515524306
|
7 |
+
6,780,GPN_final_Embeddings.plus.cosine_distance,0.11110768244571421
|
8 |
+
7,540,GPN_final_Embeddings.plus.cosine_distance,0.14400646086833835
|
9 |
+
8,460,GPN_final_Embeddings.plus.cosine_distance,0.11264591460535739
|
10 |
+
9,440,GPN_final_Embeddings.plus.cosine_distance,0.14411825259665179
|
11 |
+
10,510,GPN_final_Embeddings.plus.cosine_distance,0.13438600633510803
|
12 |
+
11,680,GPN_final_Embeddings.plus.cosine_distance,0.11355731910498076
|
13 |
+
12,590,GPN_final_Embeddings.plus.cosine_distance,0.14037730518993322
|
14 |
+
13,200,GPN_final_Embeddings.plus.cosine_distance,0.09727970366193087
|
15 |
+
14,380,GPN_final_Embeddings.plus.cosine_distance,0.13042307944322973
|
16 |
+
15,390,GPN_final_Embeddings.plus.cosine_distance,0.1330609615009408
|
17 |
+
16,590,GPN_final_Embeddings.plus.cosine_distance,0.12702805036307913
|
18 |
+
17,560,GPN_final_Embeddings.plus.cosine_distance,0.12718051283983292
|
19 |
+
18,290,GPN_final_Embeddings.plus.cosine_distance,0.14979214728694557
|
20 |
+
19,580,GPN_final_Embeddings.plus.cosine_distance,0.11177717488000963
|
21 |
+
20,530,GPN_final_Embeddings.plus.cosine_distance,0.12658590227889777
|
22 |
+
21,140,GPN_final_Embeddings.plus.cosine_distance,0.19684233245511185
|
23 |
+
22,280,GPN_final_Embeddings.plus.cosine_distance,0.15428397886324052
|
complex_traits_matched_9/AUPRC_by_chrom/all/GPN_final_Embeddings.plus.euclidean_distance.csv
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUPRC
|
2 |
+
1,1000,GPN_final_Embeddings.plus.euclidean_distance,0.09801666141366586
|
3 |
+
2,900,GPN_final_Embeddings.plus.euclidean_distance,0.11194806316872036
|
4 |
+
3,650,GPN_final_Embeddings.plus.euclidean_distance,0.1342816830645798
|
5 |
+
4,400,GPN_final_Embeddings.plus.euclidean_distance,0.14168085553489884
|
6 |
+
5,510,GPN_final_Embeddings.plus.euclidean_distance,0.11900019549375623
|
7 |
+
6,780,GPN_final_Embeddings.plus.euclidean_distance,0.10284203027714356
|
8 |
+
7,540,GPN_final_Embeddings.plus.euclidean_distance,0.12428986070239362
|
9 |
+
8,460,GPN_final_Embeddings.plus.euclidean_distance,0.11942380842632791
|
10 |
+
9,440,GPN_final_Embeddings.plus.euclidean_distance,0.1434471247793012
|
11 |
+
10,510,GPN_final_Embeddings.plus.euclidean_distance,0.12865421490889667
|
12 |
+
11,680,GPN_final_Embeddings.plus.euclidean_distance,0.11029021659494767
|
13 |
+
12,590,GPN_final_Embeddings.plus.euclidean_distance,0.15401772361758787
|
14 |
+
13,200,GPN_final_Embeddings.plus.euclidean_distance,0.09480235553179024
|
15 |
+
14,380,GPN_final_Embeddings.plus.euclidean_distance,0.13009269678661095
|
16 |
+
15,390,GPN_final_Embeddings.plus.euclidean_distance,0.12940216528249754
|
17 |
+
16,590,GPN_final_Embeddings.plus.euclidean_distance,0.1415969055256764
|
18 |
+
17,560,GPN_final_Embeddings.plus.euclidean_distance,0.12890586331787335
|
19 |
+
18,290,GPN_final_Embeddings.plus.euclidean_distance,0.15584186081901447
|
20 |
+
19,580,GPN_final_Embeddings.plus.euclidean_distance,0.129441929045138
|
21 |
+
20,530,GPN_final_Embeddings.plus.euclidean_distance,0.14006066194800632
|
22 |
+
21,140,GPN_final_Embeddings.plus.euclidean_distance,0.17382689039865257
|
23 |
+
22,280,GPN_final_Embeddings.plus.euclidean_distance,0.1627376346047523
|
complex_traits_matched_9/AUPRC_by_chrom/all/GPN_final_LLR.minus.score.csv
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUPRC
|
2 |
+
1,1000,GPN_final_LLR.minus.score,0.09739491460607652
|
3 |
+
2,900,GPN_final_LLR.minus.score,0.10571254085832749
|
4 |
+
3,650,GPN_final_LLR.minus.score,0.13076670176971372
|
5 |
+
4,400,GPN_final_LLR.minus.score,0.09986328383616325
|
6 |
+
5,510,GPN_final_LLR.minus.score,0.11097595340406882
|
7 |
+
6,780,GPN_final_LLR.minus.score,0.11275092046576178
|
8 |
+
7,540,GPN_final_LLR.minus.score,0.10610499940796549
|
9 |
+
8,460,GPN_final_LLR.minus.score,0.09512968380703543
|
10 |
+
9,440,GPN_final_LLR.minus.score,0.09710011813358134
|
11 |
+
10,510,GPN_final_LLR.minus.score,0.11392753256356065
|
12 |
+
11,680,GPN_final_LLR.minus.score,0.10768954628465657
|
13 |
+
12,590,GPN_final_LLR.minus.score,0.15258332899400334
|
14 |
+
13,200,GPN_final_LLR.minus.score,0.08983306580330819
|
15 |
+
14,380,GPN_final_LLR.minus.score,0.12734412650646412
|
16 |
+
15,390,GPN_final_LLR.minus.score,0.14613595988038125
|
17 |
+
16,590,GPN_final_LLR.minus.score,0.10318768958854967
|
18 |
+
17,560,GPN_final_LLR.minus.score,0.10361110046278824
|
19 |
+
18,290,GPN_final_LLR.minus.score,0.10662700175071689
|
20 |
+
19,580,GPN_final_LLR.minus.score,0.11311958854599205
|
21 |
+
20,530,GPN_final_LLR.minus.score,0.12578654897553626
|
22 |
+
21,140,GPN_final_LLR.minus.score,0.11860920212573235
|
23 |
+
22,280,GPN_final_LLR.minus.score,0.11081569406688692
|
complex_traits_matched_9/AUPRC_by_chrom/all/GPN_final_absLLR.plus.score.csv
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUPRC
|
2 |
+
1,1000,GPN_final_absLLR.plus.score,0.08767292090613167
|
3 |
+
2,900,GPN_final_absLLR.plus.score,0.09252976242541194
|
4 |
+
3,650,GPN_final_absLLR.plus.score,0.13086160328214075
|
5 |
+
4,400,GPN_final_absLLR.plus.score,0.1099756343219153
|
6 |
+
5,510,GPN_final_absLLR.plus.score,0.09411147292917299
|
7 |
+
6,780,GPN_final_absLLR.plus.score,0.08494463261984551
|
8 |
+
7,540,GPN_final_absLLR.plus.score,0.12253459113563411
|
9 |
+
8,460,GPN_final_absLLR.plus.score,0.10333846850453945
|
10 |
+
9,440,GPN_final_absLLR.plus.score,0.0902569613058289
|
11 |
+
10,510,GPN_final_absLLR.plus.score,0.12307188094572462
|
12 |
+
11,680,GPN_final_absLLR.plus.score,0.1096374674558381
|
13 |
+
12,590,GPN_final_absLLR.plus.score,0.1411109911728593
|
14 |
+
13,200,GPN_final_absLLR.plus.score,0.08135892483786536
|
15 |
+
14,380,GPN_final_absLLR.plus.score,0.11963133686141045
|
16 |
+
15,390,GPN_final_absLLR.plus.score,0.12005607261682519
|
17 |
+
16,590,GPN_final_absLLR.plus.score,0.11854860384361515
|
18 |
+
17,560,GPN_final_absLLR.plus.score,0.1063163076888235
|
19 |
+
18,290,GPN_final_absLLR.plus.score,0.14561326807222988
|
20 |
+
19,580,GPN_final_absLLR.plus.score,0.13060654016024076
|
21 |
+
20,530,GPN_final_absLLR.plus.score,0.1121795594619603
|
22 |
+
21,140,GPN_final_absLLR.plus.score,0.10295977906483868
|
23 |
+
22,280,GPN_final_absLLR.plus.score,0.11522205129499771
|
complex_traits_matched_9/AUPRC_by_chrom/all/HyenaDNA.LogisticRegression.chrom.csv
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUPRC
|
2 |
+
1,1000,HyenaDNA.LogisticRegression.chrom,0.0932418149123658
|
3 |
+
2,900,HyenaDNA.LogisticRegression.chrom,0.11058170916887058
|
4 |
+
3,650,HyenaDNA.LogisticRegression.chrom,0.12723065069660267
|
5 |
+
4,400,HyenaDNA.LogisticRegression.chrom,0.14840734023568658
|
6 |
+
5,510,HyenaDNA.LogisticRegression.chrom,0.10934603469726509
|
7 |
+
6,780,HyenaDNA.LogisticRegression.chrom,0.128933375282325
|
8 |
+
7,540,HyenaDNA.LogisticRegression.chrom,0.13175467726100137
|
9 |
+
8,460,HyenaDNA.LogisticRegression.chrom,0.17656133072813773
|
10 |
+
9,440,HyenaDNA.LogisticRegression.chrom,0.08575875093238414
|
11 |
+
10,510,HyenaDNA.LogisticRegression.chrom,0.11705480114342914
|
12 |
+
11,680,HyenaDNA.LogisticRegression.chrom,0.12465940506520867
|
13 |
+
12,590,HyenaDNA.LogisticRegression.chrom,0.20216124640566327
|
14 |
+
13,200,HyenaDNA.LogisticRegression.chrom,0.09830067829830674
|
15 |
+
14,380,HyenaDNA.LogisticRegression.chrom,0.2445880595082758
|
16 |
+
15,390,HyenaDNA.LogisticRegression.chrom,0.11067721631420835
|
17 |
+
16,590,HyenaDNA.LogisticRegression.chrom,0.14079875026548977
|
18 |
+
17,560,HyenaDNA.LogisticRegression.chrom,0.20063901465807193
|
19 |
+
18,290,HyenaDNA.LogisticRegression.chrom,0.1280888036823034
|
20 |
+
19,580,HyenaDNA.LogisticRegression.chrom,0.17739954222319942
|
21 |
+
20,530,HyenaDNA.LogisticRegression.chrom,0.12174608341976204
|
22 |
+
21,140,HyenaDNA.LogisticRegression.chrom,0.13347117625488245
|
23 |
+
22,280,HyenaDNA.LogisticRegression.chrom,0.10843080428264981
|
complex_traits_matched_9/AUPRC_by_chrom/all/HyenaDNA_Embeddings.minus.inner_product.csv
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUPRC
|
2 |
+
1,1000,HyenaDNA_Embeddings.minus.inner_product,0.11281416975386804
|
3 |
+
2,900,HyenaDNA_Embeddings.minus.inner_product,0.10908447503609056
|
4 |
+
3,650,HyenaDNA_Embeddings.minus.inner_product,0.14001003393624256
|
5 |
+
4,400,HyenaDNA_Embeddings.minus.inner_product,0.1375193380910579
|
6 |
+
5,510,HyenaDNA_Embeddings.minus.inner_product,0.11114797353231434
|
7 |
+
6,780,HyenaDNA_Embeddings.minus.inner_product,0.10756759926113732
|
8 |
+
7,540,HyenaDNA_Embeddings.minus.inner_product,0.101817532574485
|
9 |
+
8,460,HyenaDNA_Embeddings.minus.inner_product,0.15602211668804555
|
10 |
+
9,440,HyenaDNA_Embeddings.minus.inner_product,0.10894307535270807
|
11 |
+
10,510,HyenaDNA_Embeddings.minus.inner_product,0.10188049958686268
|
12 |
+
11,680,HyenaDNA_Embeddings.minus.inner_product,0.12130510171454377
|
13 |
+
12,590,HyenaDNA_Embeddings.minus.inner_product,0.1395218320077972
|
14 |
+
13,200,HyenaDNA_Embeddings.minus.inner_product,0.17183879422527124
|
15 |
+
14,380,HyenaDNA_Embeddings.minus.inner_product,0.14945522418481105
|
16 |
+
15,390,HyenaDNA_Embeddings.minus.inner_product,0.12568922970461183
|
17 |
+
16,590,HyenaDNA_Embeddings.minus.inner_product,0.08712328083838268
|
18 |
+
17,560,HyenaDNA_Embeddings.minus.inner_product,0.11465763467404666
|
19 |
+
18,290,HyenaDNA_Embeddings.minus.inner_product,0.11129211437179276
|
20 |
+
19,580,HyenaDNA_Embeddings.minus.inner_product,0.10808573093399443
|
21 |
+
20,530,HyenaDNA_Embeddings.minus.inner_product,0.11006896991315734
|
22 |
+
21,140,HyenaDNA_Embeddings.minus.inner_product,0.07807023299183947
|
23 |
+
22,280,HyenaDNA_Embeddings.minus.inner_product,0.11872243303285115
|
complex_traits_matched_9/AUPRC_by_chrom/all/HyenaDNA_Embeddings.plus.cosine_distance.csv
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUPRC
|
2 |
+
1,1000,HyenaDNA_Embeddings.plus.cosine_distance,0.09052187212228699
|
3 |
+
2,900,HyenaDNA_Embeddings.plus.cosine_distance,0.1011444581572439
|
4 |
+
3,650,HyenaDNA_Embeddings.plus.cosine_distance,0.09599170336386828
|
5 |
+
4,400,HyenaDNA_Embeddings.plus.cosine_distance,0.1690306014102216
|
6 |
+
5,510,HyenaDNA_Embeddings.plus.cosine_distance,0.07973962965638667
|
7 |
+
6,780,HyenaDNA_Embeddings.plus.cosine_distance,0.09929132028336449
|
8 |
+
7,540,HyenaDNA_Embeddings.plus.cosine_distance,0.11776237730284059
|
9 |
+
8,460,HyenaDNA_Embeddings.plus.cosine_distance,0.1192694042819551
|
10 |
+
9,440,HyenaDNA_Embeddings.plus.cosine_distance,0.12985678435680528
|
11 |
+
10,510,HyenaDNA_Embeddings.plus.cosine_distance,0.0883456458490135
|
12 |
+
11,680,HyenaDNA_Embeddings.plus.cosine_distance,0.09145493271694119
|
13 |
+
12,590,HyenaDNA_Embeddings.plus.cosine_distance,0.07713325948466956
|
14 |
+
13,200,HyenaDNA_Embeddings.plus.cosine_distance,0.11448551929810888
|
15 |
+
14,380,HyenaDNA_Embeddings.plus.cosine_distance,0.09455880746488252
|
16 |
+
15,390,HyenaDNA_Embeddings.plus.cosine_distance,0.14154494659798264
|
17 |
+
16,590,HyenaDNA_Embeddings.plus.cosine_distance,0.07961065602851443
|
18 |
+
17,560,HyenaDNA_Embeddings.plus.cosine_distance,0.08750986979201156
|
19 |
+
18,290,HyenaDNA_Embeddings.plus.cosine_distance,0.09984930741240619
|
20 |
+
19,580,HyenaDNA_Embeddings.plus.cosine_distance,0.08197990762291747
|
21 |
+
20,530,HyenaDNA_Embeddings.plus.cosine_distance,0.12387975956175178
|
22 |
+
21,140,HyenaDNA_Embeddings.plus.cosine_distance,0.13964833094114565
|
23 |
+
22,280,HyenaDNA_Embeddings.plus.cosine_distance,0.10621521062674905
|
complex_traits_matched_9/AUPRC_by_chrom/all/HyenaDNA_Embeddings.plus.euclidean_distance.csv
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUPRC
|
2 |
+
1,1000,HyenaDNA_Embeddings.plus.euclidean_distance,0.08953364817020859
|
3 |
+
2,900,HyenaDNA_Embeddings.plus.euclidean_distance,0.10090297405044979
|
4 |
+
3,650,HyenaDNA_Embeddings.plus.euclidean_distance,0.09469073574986833
|
5 |
+
4,400,HyenaDNA_Embeddings.plus.euclidean_distance,0.18605082469674278
|
6 |
+
5,510,HyenaDNA_Embeddings.plus.euclidean_distance,0.07962811246131704
|
7 |
+
6,780,HyenaDNA_Embeddings.plus.euclidean_distance,0.10076232742970953
|
8 |
+
7,540,HyenaDNA_Embeddings.plus.euclidean_distance,0.11771039374543646
|
9 |
+
8,460,HyenaDNA_Embeddings.plus.euclidean_distance,0.12053988877247496
|
10 |
+
9,440,HyenaDNA_Embeddings.plus.euclidean_distance,0.12870295412731358
|
11 |
+
10,510,HyenaDNA_Embeddings.plus.euclidean_distance,0.08818081677833821
|
12 |
+
11,680,HyenaDNA_Embeddings.plus.euclidean_distance,0.09142477797624166
|
13 |
+
12,590,HyenaDNA_Embeddings.plus.euclidean_distance,0.07677481049630211
|
14 |
+
13,200,HyenaDNA_Embeddings.plus.euclidean_distance,0.11693057297070537
|
15 |
+
14,380,HyenaDNA_Embeddings.plus.euclidean_distance,0.09169699520692018
|
16 |
+
15,390,HyenaDNA_Embeddings.plus.euclidean_distance,0.14075081515402302
|
17 |
+
16,590,HyenaDNA_Embeddings.plus.euclidean_distance,0.08063941773458455
|
18 |
+
17,560,HyenaDNA_Embeddings.plus.euclidean_distance,0.0862789749964509
|
19 |
+
18,290,HyenaDNA_Embeddings.plus.euclidean_distance,0.0999051908121982
|
20 |
+
19,580,HyenaDNA_Embeddings.plus.euclidean_distance,0.08190188766595036
|
21 |
+
20,530,HyenaDNA_Embeddings.plus.euclidean_distance,0.12463278971684882
|
22 |
+
21,140,HyenaDNA_Embeddings.plus.euclidean_distance,0.14104538174272274
|
23 |
+
22,280,HyenaDNA_Embeddings.plus.euclidean_distance,0.10356011048780955
|
complex_traits_matched_9/AUPRC_by_chrom/all/HyenaDNA_LLR.minus.score.csv
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUPRC
|
2 |
+
1,1000,HyenaDNA_LLR.minus.score,0.10888092024996153
|
3 |
+
2,900,HyenaDNA_LLR.minus.score,0.10725370157109815
|
4 |
+
3,650,HyenaDNA_LLR.minus.score,0.09809671349823582
|
5 |
+
4,400,HyenaDNA_LLR.minus.score,0.13927709805221986
|
6 |
+
5,510,HyenaDNA_LLR.minus.score,0.1018551053919702
|
7 |
+
6,780,HyenaDNA_LLR.minus.score,0.10291463293100286
|
8 |
+
7,540,HyenaDNA_LLR.minus.score,0.13310831453209349
|
9 |
+
8,460,HyenaDNA_LLR.minus.score,0.09439477701834122
|
10 |
+
9,440,HyenaDNA_LLR.minus.score,0.08985412420094752
|
11 |
+
10,510,HyenaDNA_LLR.minus.score,0.09094932563196947
|
12 |
+
11,680,HyenaDNA_LLR.minus.score,0.13842544005046692
|
13 |
+
12,590,HyenaDNA_LLR.minus.score,0.10476987186087207
|
14 |
+
13,200,HyenaDNA_LLR.minus.score,0.10822125894168183
|
15 |
+
14,380,HyenaDNA_LLR.minus.score,0.09811353462735545
|
16 |
+
15,390,HyenaDNA_LLR.minus.score,0.10488750615370274
|
17 |
+
16,590,HyenaDNA_LLR.minus.score,0.11488969002545779
|
18 |
+
17,560,HyenaDNA_LLR.minus.score,0.10140232415232017
|
19 |
+
18,290,HyenaDNA_LLR.minus.score,0.11621944801527165
|
20 |
+
19,580,HyenaDNA_LLR.minus.score,0.12446145984734558
|
21 |
+
20,530,HyenaDNA_LLR.minus.score,0.08772113781262017
|
22 |
+
21,140,HyenaDNA_LLR.minus.score,0.07869653048994382
|
23 |
+
22,280,HyenaDNA_LLR.minus.score,0.17462408368308288
|
complex_traits_matched_9/AUPRC_by_chrom/all/HyenaDNA_absLLR.plus.score.csv
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUPRC
|
2 |
+
1,1000,HyenaDNA_absLLR.plus.score,0.1161932518178938
|
3 |
+
2,900,HyenaDNA_absLLR.plus.score,0.10994300004301968
|
4 |
+
3,650,HyenaDNA_absLLR.plus.score,0.09431906597592231
|
5 |
+
4,400,HyenaDNA_absLLR.plus.score,0.1603569956306368
|
6 |
+
5,510,HyenaDNA_absLLR.plus.score,0.10267162463784052
|
7 |
+
6,780,HyenaDNA_absLLR.plus.score,0.1105492018207786
|
8 |
+
7,540,HyenaDNA_absLLR.plus.score,0.12388482051270529
|
9 |
+
8,460,HyenaDNA_absLLR.plus.score,0.11330363905987421
|
10 |
+
9,440,HyenaDNA_absLLR.plus.score,0.09156114834984222
|
11 |
+
10,510,HyenaDNA_absLLR.plus.score,0.12176324678693656
|
12 |
+
11,680,HyenaDNA_absLLR.plus.score,0.12146353508139611
|
13 |
+
12,590,HyenaDNA_absLLR.plus.score,0.1068315602795701
|
14 |
+
13,200,HyenaDNA_absLLR.plus.score,0.09047952057682544
|
15 |
+
14,380,HyenaDNA_absLLR.plus.score,0.08722718650784206
|
16 |
+
15,390,HyenaDNA_absLLR.plus.score,0.09505434520017639
|
17 |
+
16,590,HyenaDNA_absLLR.plus.score,0.1164772647720952
|
18 |
+
17,560,HyenaDNA_absLLR.plus.score,0.10412822168497994
|
19 |
+
18,290,HyenaDNA_absLLR.plus.score,0.10774508801921322
|
20 |
+
19,580,HyenaDNA_absLLR.plus.score,0.11584807723272794
|
21 |
+
20,530,HyenaDNA_absLLR.plus.score,0.08813864517137565
|
22 |
+
21,140,HyenaDNA_absLLR.plus.score,0.14957545486048401
|
23 |
+
22,280,HyenaDNA_absLLR.plus.score,0.12668273034332736
|
complex_traits_matched_9/AUPRC_by_chrom/all/NucleotideTransformer.LogisticRegression.chrom.csv
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUPRC
|
2 |
+
1,1000,NucleotideTransformer.LogisticRegression.chrom,0.15512363535448717
|
3 |
+
2,900,NucleotideTransformer.LogisticRegression.chrom,0.12935846487180203
|
4 |
+
3,650,NucleotideTransformer.LogisticRegression.chrom,0.14765157484991331
|
5 |
+
4,400,NucleotideTransformer.LogisticRegression.chrom,0.21658520946065324
|
6 |
+
5,510,NucleotideTransformer.LogisticRegression.chrom,0.14351203763062306
|
7 |
+
6,780,NucleotideTransformer.LogisticRegression.chrom,0.1789817217518471
|
8 |
+
7,540,NucleotideTransformer.LogisticRegression.chrom,0.17186759969009996
|
9 |
+
8,460,NucleotideTransformer.LogisticRegression.chrom,0.16855672104558939
|
10 |
+
9,440,NucleotideTransformer.LogisticRegression.chrom,0.17827541030481264
|
11 |
+
10,510,NucleotideTransformer.LogisticRegression.chrom,0.14678497192418152
|
12 |
+
11,680,NucleotideTransformer.LogisticRegression.chrom,0.14084558397117375
|
13 |
+
12,590,NucleotideTransformer.LogisticRegression.chrom,0.2300301097013224
|
14 |
+
13,200,NucleotideTransformer.LogisticRegression.chrom,0.15962825516631954
|
15 |
+
14,380,NucleotideTransformer.LogisticRegression.chrom,0.17171406588033003
|
16 |
+
15,390,NucleotideTransformer.LogisticRegression.chrom,0.2050217829858993
|
17 |
+
16,590,NucleotideTransformer.LogisticRegression.chrom,0.14637696663953842
|
18 |
+
17,560,NucleotideTransformer.LogisticRegression.chrom,0.1544732936242083
|
19 |
+
18,290,NucleotideTransformer.LogisticRegression.chrom,0.11260941925552717
|
20 |
+
19,580,NucleotideTransformer.LogisticRegression.chrom,0.159292167698087
|
21 |
+
20,530,NucleotideTransformer.LogisticRegression.chrom,0.17473674029135622
|
22 |
+
21,140,NucleotideTransformer.LogisticRegression.chrom,0.24930589875503628
|
23 |
+
22,280,NucleotideTransformer.LogisticRegression.chrom,0.1366551636447473
|
complex_traits_matched_9/AUPRC_by_chrom/all/NucleotideTransformer_Embeddings.minus.inner_product.csv
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUPRC
|
2 |
+
1,1000,NucleotideTransformer_Embeddings.minus.inner_product,0.11175591845024276
|
3 |
+
2,900,NucleotideTransformer_Embeddings.minus.inner_product,0.10746345408040495
|
4 |
+
3,650,NucleotideTransformer_Embeddings.minus.inner_product,0.13420082055286098
|
5 |
+
4,400,NucleotideTransformer_Embeddings.minus.inner_product,0.13206183828568097
|
6 |
+
5,510,NucleotideTransformer_Embeddings.minus.inner_product,0.12323737847216766
|
7 |
+
6,780,NucleotideTransformer_Embeddings.minus.inner_product,0.12418557940725085
|
8 |
+
7,540,NucleotideTransformer_Embeddings.minus.inner_product,0.1349678977310897
|
9 |
+
8,460,NucleotideTransformer_Embeddings.minus.inner_product,0.1496850691259241
|
10 |
+
9,440,NucleotideTransformer_Embeddings.minus.inner_product,0.09354372929454086
|
11 |
+
10,510,NucleotideTransformer_Embeddings.minus.inner_product,0.13483879070501925
|
12 |
+
11,680,NucleotideTransformer_Embeddings.minus.inner_product,0.14683159026565606
|
13 |
+
12,590,NucleotideTransformer_Embeddings.minus.inner_product,0.1524580278555234
|
14 |
+
13,200,NucleotideTransformer_Embeddings.minus.inner_product,0.31380451712471186
|
15 |
+
14,380,NucleotideTransformer_Embeddings.minus.inner_product,0.13250174121965985
|
16 |
+
15,390,NucleotideTransformer_Embeddings.minus.inner_product,0.1155161210932963
|
17 |
+
16,590,NucleotideTransformer_Embeddings.minus.inner_product,0.15847864335745454
|
18 |
+
17,560,NucleotideTransformer_Embeddings.minus.inner_product,0.17270560265093512
|
19 |
+
18,290,NucleotideTransformer_Embeddings.minus.inner_product,0.1365910345103668
|
20 |
+
19,580,NucleotideTransformer_Embeddings.minus.inner_product,0.12667124428159654
|
21 |
+
20,530,NucleotideTransformer_Embeddings.minus.inner_product,0.15463682374442134
|
22 |
+
21,140,NucleotideTransformer_Embeddings.minus.inner_product,0.10277317789246117
|
23 |
+
22,280,NucleotideTransformer_Embeddings.minus.inner_product,0.1337137018406608
|
complex_traits_matched_9/AUPRC_by_chrom/all/NucleotideTransformer_Embeddings.plus.cosine_distance.csv
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUPRC
|
2 |
+
1,1000,NucleotideTransformer_Embeddings.plus.cosine_distance,0.10554753235044464
|
3 |
+
2,900,NucleotideTransformer_Embeddings.plus.cosine_distance,0.1146454209290038
|
4 |
+
3,650,NucleotideTransformer_Embeddings.plus.cosine_distance,0.13227526954783658
|
5 |
+
4,400,NucleotideTransformer_Embeddings.plus.cosine_distance,0.11377336627894666
|
6 |
+
5,510,NucleotideTransformer_Embeddings.plus.cosine_distance,0.10757853223339359
|
7 |
+
6,780,NucleotideTransformer_Embeddings.plus.cosine_distance,0.0988507272559664
|
8 |
+
7,540,NucleotideTransformer_Embeddings.plus.cosine_distance,0.13536877529645913
|
9 |
+
8,460,NucleotideTransformer_Embeddings.plus.cosine_distance,0.15015320077921102
|
10 |
+
9,440,NucleotideTransformer_Embeddings.plus.cosine_distance,0.1258549384441254
|
11 |
+
10,510,NucleotideTransformer_Embeddings.plus.cosine_distance,0.17303681925143632
|
12 |
+
11,680,NucleotideTransformer_Embeddings.plus.cosine_distance,0.11460127537383069
|
13 |
+
12,590,NucleotideTransformer_Embeddings.plus.cosine_distance,0.10695248832711202
|
14 |
+
13,200,NucleotideTransformer_Embeddings.plus.cosine_distance,0.10015902742646021
|
15 |
+
14,380,NucleotideTransformer_Embeddings.plus.cosine_distance,0.09423833491643865
|
16 |
+
15,390,NucleotideTransformer_Embeddings.plus.cosine_distance,0.1386965488340856
|
17 |
+
16,590,NucleotideTransformer_Embeddings.plus.cosine_distance,0.08788131780260465
|
18 |
+
17,560,NucleotideTransformer_Embeddings.plus.cosine_distance,0.1131551432701018
|
19 |
+
18,290,NucleotideTransformer_Embeddings.plus.cosine_distance,0.1808239482968096
|
20 |
+
19,580,NucleotideTransformer_Embeddings.plus.cosine_distance,0.09259676565514649
|
21 |
+
20,530,NucleotideTransformer_Embeddings.plus.cosine_distance,0.1403663892555389
|
22 |
+
21,140,NucleotideTransformer_Embeddings.plus.cosine_distance,0.18100389136785233
|
23 |
+
22,280,NucleotideTransformer_Embeddings.plus.cosine_distance,0.11086700769006833
|
complex_traits_matched_9/AUPRC_by_chrom/all/NucleotideTransformer_Embeddings.plus.euclidean_distance.csv
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUPRC
|
2 |
+
1,1000,NucleotideTransformer_Embeddings.plus.euclidean_distance,0.10597712692354253
|
3 |
+
2,900,NucleotideTransformer_Embeddings.plus.euclidean_distance,0.11464439178560396
|
4 |
+
3,650,NucleotideTransformer_Embeddings.plus.euclidean_distance,0.13030051703395312
|
5 |
+
4,400,NucleotideTransformer_Embeddings.plus.euclidean_distance,0.11339281274839644
|
6 |
+
5,510,NucleotideTransformer_Embeddings.plus.euclidean_distance,0.10669696421405009
|
7 |
+
6,780,NucleotideTransformer_Embeddings.plus.euclidean_distance,0.09824639261161158
|
8 |
+
7,540,NucleotideTransformer_Embeddings.plus.euclidean_distance,0.13164447684432296
|
9 |
+
8,460,NucleotideTransformer_Embeddings.plus.euclidean_distance,0.14599255015360646
|
10 |
+
9,440,NucleotideTransformer_Embeddings.plus.euclidean_distance,0.12433672510974202
|
11 |
+
10,510,NucleotideTransformer_Embeddings.plus.euclidean_distance,0.16673428060268075
|
12 |
+
11,680,NucleotideTransformer_Embeddings.plus.euclidean_distance,0.11423855343870723
|
13 |
+
12,590,NucleotideTransformer_Embeddings.plus.euclidean_distance,0.10545020662088453
|
14 |
+
13,200,NucleotideTransformer_Embeddings.plus.euclidean_distance,0.09883285817293379
|
15 |
+
14,380,NucleotideTransformer_Embeddings.plus.euclidean_distance,0.09219581752415511
|
16 |
+
15,390,NucleotideTransformer_Embeddings.plus.euclidean_distance,0.1360833768137366
|
17 |
+
16,590,NucleotideTransformer_Embeddings.plus.euclidean_distance,0.08762353654996977
|
18 |
+
17,560,NucleotideTransformer_Embeddings.plus.euclidean_distance,0.11218388449458305
|
19 |
+
18,290,NucleotideTransformer_Embeddings.plus.euclidean_distance,0.1847050426752651
|
20 |
+
19,580,NucleotideTransformer_Embeddings.plus.euclidean_distance,0.09199288608900888
|
21 |
+
20,530,NucleotideTransformer_Embeddings.plus.euclidean_distance,0.13844432817944524
|
22 |
+
21,140,NucleotideTransformer_Embeddings.plus.euclidean_distance,0.157809612807406
|
23 |
+
22,280,NucleotideTransformer_Embeddings.plus.euclidean_distance,0.10921404945407609
|
complex_traits_matched_9/AUPRC_by_chrom/all/NucleotideTransformer_LLR.minus.score.csv
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUPRC
|
2 |
+
1,1000,NucleotideTransformer_LLR.minus.score,0.11160236689370909
|
3 |
+
2,900,NucleotideTransformer_LLR.minus.score,0.10126813778616041
|
4 |
+
3,650,NucleotideTransformer_LLR.minus.score,0.10395508103553167
|
5 |
+
4,400,NucleotideTransformer_LLR.minus.score,0.09907946591895749
|
6 |
+
5,510,NucleotideTransformer_LLR.minus.score,0.09898829200877812
|
7 |
+
6,780,NucleotideTransformer_LLR.minus.score,0.10737106478458587
|
8 |
+
7,540,NucleotideTransformer_LLR.minus.score,0.08784319834147548
|
9 |
+
8,460,NucleotideTransformer_LLR.minus.score,0.07682627449035084
|
10 |
+
9,440,NucleotideTransformer_LLR.minus.score,0.0881013120794005
|
11 |
+
10,510,NucleotideTransformer_LLR.minus.score,0.09397463269196735
|
12 |
+
11,680,NucleotideTransformer_LLR.minus.score,0.11014528642444059
|
13 |
+
12,590,NucleotideTransformer_LLR.minus.score,0.10973010288108045
|
14 |
+
13,200,NucleotideTransformer_LLR.minus.score,0.08832031566879422
|
15 |
+
14,380,NucleotideTransformer_LLR.minus.score,0.10567330372351702
|
16 |
+
15,390,NucleotideTransformer_LLR.minus.score,0.09936013981643779
|
17 |
+
16,590,NucleotideTransformer_LLR.minus.score,0.0887923975694775
|
18 |
+
17,560,NucleotideTransformer_LLR.minus.score,0.09975581338832565
|
19 |
+
18,290,NucleotideTransformer_LLR.minus.score,0.08746964867297917
|
20 |
+
19,580,NucleotideTransformer_LLR.minus.score,0.09514200369634582
|
21 |
+
20,530,NucleotideTransformer_LLR.minus.score,0.10522107506846767
|
22 |
+
21,140,NucleotideTransformer_LLR.minus.score,0.11160301367580056
|
23 |
+
22,280,NucleotideTransformer_LLR.minus.score,0.1382258720311849
|
complex_traits_matched_9/AUPRC_by_chrom/all/NucleotideTransformer_absLLR.plus.score.csv
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUPRC
|
2 |
+
1,1000,NucleotideTransformer_absLLR.plus.score,0.11399842389101482
|
3 |
+
2,900,NucleotideTransformer_absLLR.plus.score,0.09086136570429369
|
4 |
+
3,650,NucleotideTransformer_absLLR.plus.score,0.09855301577466391
|
5 |
+
4,400,NucleotideTransformer_absLLR.plus.score,0.10275254577302943
|
6 |
+
5,510,NucleotideTransformer_absLLR.plus.score,0.08441907138278837
|
7 |
+
6,780,NucleotideTransformer_absLLR.plus.score,0.1018727962189927
|
8 |
+
7,540,NucleotideTransformer_absLLR.plus.score,0.10444774599727974
|
9 |
+
8,460,NucleotideTransformer_absLLR.plus.score,0.09347215871633771
|
10 |
+
9,440,NucleotideTransformer_absLLR.plus.score,0.08300241758857624
|
11 |
+
10,510,NucleotideTransformer_absLLR.plus.score,0.10155759060158379
|
12 |
+
11,680,NucleotideTransformer_absLLR.plus.score,0.11925557482269541
|
13 |
+
12,590,NucleotideTransformer_absLLR.plus.score,0.0962201631008216
|
14 |
+
13,200,NucleotideTransformer_absLLR.plus.score,0.09686444031310855
|
15 |
+
14,380,NucleotideTransformer_absLLR.plus.score,0.10441538405127981
|
16 |
+
15,390,NucleotideTransformer_absLLR.plus.score,0.07672179907035201
|
17 |
+
16,590,NucleotideTransformer_absLLR.plus.score,0.10247939608855917
|
18 |
+
17,560,NucleotideTransformer_absLLR.plus.score,0.10128570259431505
|
19 |
+
18,290,NucleotideTransformer_absLLR.plus.score,0.11489728697672683
|
20 |
+
19,580,NucleotideTransformer_absLLR.plus.score,0.10013061451601366
|
21 |
+
20,530,NucleotideTransformer_absLLR.plus.score,0.09113854515813152
|
22 |
+
21,140,NucleotideTransformer_absLLR.plus.score,0.08628568292553913
|
23 |
+
22,280,NucleotideTransformer_absLLR.plus.score,0.11731746913077887
|
complex_traits_matched_9/AUPRC_by_chrom/all/Sei.LogisticRegression.chrom.csv
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUPRC
|
2 |
+
1,1000,Sei.LogisticRegression.chrom,0.16334405243441852
|
3 |
+
2,900,Sei.LogisticRegression.chrom,0.18769445855076017
|
4 |
+
3,650,Sei.LogisticRegression.chrom,0.16935462091641404
|
5 |
+
4,400,Sei.LogisticRegression.chrom,0.23080200024162856
|
6 |
+
5,510,Sei.LogisticRegression.chrom,0.15340129995229435
|
7 |
+
6,780,Sei.LogisticRegression.chrom,0.15141712190952
|
8 |
+
7,540,Sei.LogisticRegression.chrom,0.1926131834092242
|
9 |
+
8,460,Sei.LogisticRegression.chrom,0.1794084943828888
|
10 |
+
9,440,Sei.LogisticRegression.chrom,0.1775856380560413
|
11 |
+
10,510,Sei.LogisticRegression.chrom,0.22886427793876063
|
12 |
+
11,680,Sei.LogisticRegression.chrom,0.15580437447935003
|
13 |
+
12,590,Sei.LogisticRegression.chrom,0.1857655757246211
|
14 |
+
13,200,Sei.LogisticRegression.chrom,0.3245386933783813
|
15 |
+
14,380,Sei.LogisticRegression.chrom,0.20234441745745835
|
16 |
+
15,390,Sei.LogisticRegression.chrom,0.18570337236646278
|
17 |
+
16,590,Sei.LogisticRegression.chrom,0.21133226158251978
|
18 |
+
17,560,Sei.LogisticRegression.chrom,0.11725224560198087
|
19 |
+
18,290,Sei.LogisticRegression.chrom,0.24256508930040604
|
20 |
+
19,580,Sei.LogisticRegression.chrom,0.16734227902894644
|
21 |
+
20,530,Sei.LogisticRegression.chrom,0.1364072757097237
|
22 |
+
21,140,Sei.LogisticRegression.chrom,0.26725093487943113
|
23 |
+
22,280,Sei.LogisticRegression.chrom,0.30935485427396847
|
complex_traits_matched_9/AUPRC_by_chrom/all/Sei.plus.seqclass_max_absdiff.csv
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUPRC
|
2 |
+
1,1000,Sei.plus.seqclass_max_absdiff,0.18334199096155376
|
3 |
+
2,900,Sei.plus.seqclass_max_absdiff,0.1921520350426617
|
4 |
+
3,650,Sei.plus.seqclass_max_absdiff,0.17744588681307302
|
5 |
+
4,400,Sei.plus.seqclass_max_absdiff,0.26589285172059535
|
6 |
+
5,510,Sei.plus.seqclass_max_absdiff,0.17980083434019734
|
7 |
+
6,780,Sei.plus.seqclass_max_absdiff,0.14713085137081539
|
8 |
+
7,540,Sei.plus.seqclass_max_absdiff,0.2118731945225579
|
9 |
+
8,460,Sei.plus.seqclass_max_absdiff,0.19387703731721573
|
10 |
+
9,440,Sei.plus.seqclass_max_absdiff,0.17905086643778564
|
11 |
+
10,510,Sei.plus.seqclass_max_absdiff,0.21737064291014285
|
12 |
+
11,680,Sei.plus.seqclass_max_absdiff,0.18312179168589648
|
13 |
+
12,590,Sei.plus.seqclass_max_absdiff,0.18972857429903156
|
14 |
+
13,200,Sei.plus.seqclass_max_absdiff,0.32083256140928634
|
15 |
+
14,380,Sei.plus.seqclass_max_absdiff,0.19651682030377027
|
16 |
+
15,390,Sei.plus.seqclass_max_absdiff,0.209329252490387
|
17 |
+
16,590,Sei.plus.seqclass_max_absdiff,0.20563858384049555
|
18 |
+
17,560,Sei.plus.seqclass_max_absdiff,0.11471879352946464
|
19 |
+
18,290,Sei.plus.seqclass_max_absdiff,0.2400127228347529
|
20 |
+
19,580,Sei.plus.seqclass_max_absdiff,0.1720825495550485
|
21 |
+
20,530,Sei.plus.seqclass_max_absdiff,0.1559049927633249
|
22 |
+
21,140,Sei.plus.seqclass_max_absdiff,0.26916293093040533
|
23 |
+
22,280,Sei.plus.seqclass_max_absdiff,0.31243677491169897
|
complex_traits_matched_9/AUPRC_by_chrom/nonexonic_AND_distal/GPN_final.LogisticRegression.chrom.subset_from_all.csv
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUPRC
|
2 |
+
1,740,GPN_final.LogisticRegression.chrom.subset_from_all,0.17523120035891726
|
3 |
+
10,470,GPN_final.LogisticRegression.chrom.subset_from_all,0.18433176745616636
|
4 |
+
11,490,GPN_final.LogisticRegression.chrom.subset_from_all,0.16079390355151063
|
5 |
+
12,450,GPN_final.LogisticRegression.chrom.subset_from_all,0.19765998012878278
|
6 |
+
13,190,GPN_final.LogisticRegression.chrom.subset_from_all,0.15298383222876483
|
7 |
+
14,260,GPN_final.LogisticRegression.chrom.subset_from_all,0.18692704732833038
|
8 |
+
15,270,GPN_final.LogisticRegression.chrom.subset_from_all,0.17177403330557672
|
9 |
+
16,450,GPN_final.LogisticRegression.chrom.subset_from_all,0.20177593717752187
|
10 |
+
17,300,GPN_final.LogisticRegression.chrom.subset_from_all,0.14680828957921765
|
11 |
+
18,240,GPN_final.LogisticRegression.chrom.subset_from_all,0.3286359928434378
|
12 |
+
19,410,GPN_final.LogisticRegression.chrom.subset_from_all,0.2042372947168795
|
13 |
+
2,680,GPN_final.LogisticRegression.chrom.subset_from_all,0.13768932158869693
|
14 |
+
20,390,GPN_final.LogisticRegression.chrom.subset_from_all,0.2594656417254127
|
15 |
+
21,110,GPN_final.LogisticRegression.chrom.subset_from_all,0.20426295538802686
|
16 |
+
22,220,GPN_final.LogisticRegression.chrom.subset_from_all,0.25858984890916764
|
17 |
+
3,540,GPN_final.LogisticRegression.chrom.subset_from_all,0.13532737100696035
|
18 |
+
4,340,GPN_final.LogisticRegression.chrom.subset_from_all,0.22884768437411712
|
19 |
+
5,370,GPN_final.LogisticRegression.chrom.subset_from_all,0.16082428502274482
|
20 |
+
6,600,GPN_final.LogisticRegression.chrom.subset_from_all,0.16486669650610677
|
21 |
+
7,490,GPN_final.LogisticRegression.chrom.subset_from_all,0.18365642842723
|
22 |
+
8,360,GPN_final.LogisticRegression.chrom.subset_from_all,0.17207317582874987
|
23 |
+
9,350,GPN_final.LogisticRegression.chrom.subset_from_all,0.15624667235166487
|
complex_traits_matched_9/AUPRC_by_chrom/nonexonic_AND_distal/GPN_final_Embeddings.plus.euclidean_distance.csv
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUPRC
|
2 |
+
1,740,GPN_final_Embeddings.plus.euclidean_distance,0.09063817247483832
|
3 |
+
10,470,GPN_final_Embeddings.plus.euclidean_distance,0.13543020013309942
|
4 |
+
11,490,GPN_final_Embeddings.plus.euclidean_distance,0.10518261992262827
|
5 |
+
12,450,GPN_final_Embeddings.plus.euclidean_distance,0.11419157229544072
|
6 |
+
13,190,GPN_final_Embeddings.plus.euclidean_distance,0.08479601118692325
|
7 |
+
14,260,GPN_final_Embeddings.plus.euclidean_distance,0.11621607489175743
|
8 |
+
15,270,GPN_final_Embeddings.plus.euclidean_distance,0.099188520841014
|
9 |
+
16,450,GPN_final_Embeddings.plus.euclidean_distance,0.12553316967714034
|
10 |
+
17,300,GPN_final_Embeddings.plus.euclidean_distance,0.12737181017785412
|
11 |
+
18,240,GPN_final_Embeddings.plus.euclidean_distance,0.12940563809989838
|
12 |
+
19,410,GPN_final_Embeddings.plus.euclidean_distance,0.11148204172457526
|
13 |
+
2,680,GPN_final_Embeddings.plus.euclidean_distance,0.11919583705323475
|
14 |
+
20,390,GPN_final_Embeddings.plus.euclidean_distance,0.1519619228670615
|
15 |
+
21,110,GPN_final_Embeddings.plus.euclidean_distance,0.1902013394025798
|
16 |
+
22,220,GPN_final_Embeddings.plus.euclidean_distance,0.11903281423478974
|
17 |
+
3,540,GPN_final_Embeddings.plus.euclidean_distance,0.13953127821236863
|
18 |
+
4,340,GPN_final_Embeddings.plus.euclidean_distance,0.128346147951897
|
19 |
+
5,370,GPN_final_Embeddings.plus.euclidean_distance,0.12223254154733472
|
20 |
+
6,600,GPN_final_Embeddings.plus.euclidean_distance,0.10709189108285427
|
21 |
+
7,490,GPN_final_Embeddings.plus.euclidean_distance,0.12229510049043589
|
22 |
+
8,360,GPN_final_Embeddings.plus.euclidean_distance,0.10310813886115194
|
23 |
+
9,350,GPN_final_Embeddings.plus.euclidean_distance,0.12847836502876095
|
complex_traits_matched_9/AUPRC_by_chrom/pip_0.99/Borzoi_L2_L2.plus.all.csv
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUPRC
|
2 |
+
1,670,Borzoi_L2_L2.plus.all,0.2924128907752949
|
3 |
+
2,590,Borzoi_L2_L2.plus.all,0.27611885187145324
|
4 |
+
3,420,Borzoi_L2_L2.plus.all,0.2217533045688429
|
5 |
+
4,280,Borzoi_L2_L2.plus.all,0.2349364977875057
|
6 |
+
5,320,Borzoi_L2_L2.plus.all,0.3545145439507212
|
7 |
+
6,570,Borzoi_L2_L2.plus.all,0.17304538387522495
|
8 |
+
7,340,Borzoi_L2_L2.plus.all,0.3740682478154174
|
9 |
+
8,250,Borzoi_L2_L2.plus.all,0.20140676219189033
|
10 |
+
9,280,Borzoi_L2_L2.plus.all,0.21870365531181443
|
11 |
+
10,300,Borzoi_L2_L2.plus.all,0.21412716304803664
|
12 |
+
11,480,Borzoi_L2_L2.plus.all,0.27137760199751076
|
13 |
+
12,360,Borzoi_L2_L2.plus.all,0.3431035203457384
|
14 |
+
13,150,Borzoi_L2_L2.plus.all,0.39260196638047107
|
15 |
+
14,230,Borzoi_L2_L2.plus.all,0.22524360835895935
|
16 |
+
15,260,Borzoi_L2_L2.plus.all,0.2510199292665337
|
17 |
+
16,460,Borzoi_L2_L2.plus.all,0.2938939441783416
|
18 |
+
17,400,Borzoi_L2_L2.plus.all,0.25474025578640813
|
19 |
+
18,160,Borzoi_L2_L2.plus.all,0.28821512337109534
|
20 |
+
19,380,Borzoi_L2_L2.plus.all,0.3276579715101646
|
21 |
+
20,330,Borzoi_L2_L2.plus.all,0.20862525830951306
|
22 |
+
21,80,Borzoi_L2_L2.plus.all,0.44860594154948996
|
23 |
+
22,180,Borzoi_L2_L2.plus.all,0.3336986275686722
|
complex_traits_matched_9/AUPRC_by_chrom/pip_0.99/CADD.LogisticRegression.chrom.subset_from_all.csv
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUPRC
|
2 |
+
1,670,CADD.LogisticRegression.chrom.subset_from_all,0.2719530172859542
|
3 |
+
2,590,CADD.LogisticRegression.chrom.subset_from_all,0.23383047873132887
|
4 |
+
3,420,CADD.LogisticRegression.chrom.subset_from_all,0.36390809286947945
|
5 |
+
4,280,CADD.LogisticRegression.chrom.subset_from_all,0.2624433879027087
|
6 |
+
5,320,CADD.LogisticRegression.chrom.subset_from_all,0.2213088096394977
|
7 |
+
6,570,CADD.LogisticRegression.chrom.subset_from_all,0.27136336251388254
|
8 |
+
7,340,CADD.LogisticRegression.chrom.subset_from_all,0.36433023388449015
|
9 |
+
8,250,CADD.LogisticRegression.chrom.subset_from_all,0.3010504671023358
|
10 |
+
9,280,CADD.LogisticRegression.chrom.subset_from_all,0.3154455740008412
|
11 |
+
10,300,CADD.LogisticRegression.chrom.subset_from_all,0.36623942042143803
|
12 |
+
11,480,CADD.LogisticRegression.chrom.subset_from_all,0.25269740210576624
|
13 |
+
12,360,CADD.LogisticRegression.chrom.subset_from_all,0.3903453169928965
|
14 |
+
13,150,CADD.LogisticRegression.chrom.subset_from_all,0.36446928803315876
|
15 |
+
14,230,CADD.LogisticRegression.chrom.subset_from_all,0.34869226859826086
|
16 |
+
15,260,CADD.LogisticRegression.chrom.subset_from_all,0.20651029108331498
|
17 |
+
16,460,CADD.LogisticRegression.chrom.subset_from_all,0.34629778960076046
|
18 |
+
17,400,CADD.LogisticRegression.chrom.subset_from_all,0.21361664386237658
|
19 |
+
18,160,CADD.LogisticRegression.chrom.subset_from_all,0.46120612593635907
|
20 |
+
19,380,CADD.LogisticRegression.chrom.subset_from_all,0.2642372888242122
|
21 |
+
20,330,CADD.LogisticRegression.chrom.subset_from_all,0.2774107581215273
|
22 |
+
21,80,CADD.LogisticRegression.chrom.subset_from_all,0.37004115423491263
|
23 |
+
22,180,CADD.LogisticRegression.chrom.subset_from_all,0.35708711231295465
|
complex_traits_matched_9/AUPRC_by_chrom/pip_0.99/GPN-MSA.LogisticRegression.chrom.subset_from_all.csv
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUPRC
|
2 |
+
1,670,GPN-MSA.LogisticRegression.chrom.subset_from_all,0.26731938568800323
|
3 |
+
2,590,GPN-MSA.LogisticRegression.chrom.subset_from_all,0.2839758749892774
|
4 |
+
3,420,GPN-MSA.LogisticRegression.chrom.subset_from_all,0.24660627239157293
|
5 |
+
4,280,GPN-MSA.LogisticRegression.chrom.subset_from_all,0.22608662867556667
|
6 |
+
5,320,GPN-MSA.LogisticRegression.chrom.subset_from_all,0.22958825232063063
|
7 |
+
6,570,GPN-MSA.LogisticRegression.chrom.subset_from_all,0.2978782228829844
|
8 |
+
7,340,GPN-MSA.LogisticRegression.chrom.subset_from_all,0.36239870526432166
|
9 |
+
8,250,GPN-MSA.LogisticRegression.chrom.subset_from_all,0.3035771674738096
|
10 |
+
9,280,GPN-MSA.LogisticRegression.chrom.subset_from_all,0.2804281873816042
|
11 |
+
10,300,GPN-MSA.LogisticRegression.chrom.subset_from_all,0.40443485950855096
|
12 |
+
11,480,GPN-MSA.LogisticRegression.chrom.subset_from_all,0.27427235549709855
|
13 |
+
12,360,GPN-MSA.LogisticRegression.chrom.subset_from_all,0.35646992020244567
|
14 |
+
13,150,GPN-MSA.LogisticRegression.chrom.subset_from_all,0.2674860427442136
|
15 |
+
14,230,GPN-MSA.LogisticRegression.chrom.subset_from_all,0.36355256934580293
|
16 |
+
15,260,GPN-MSA.LogisticRegression.chrom.subset_from_all,0.20850384236967093
|
17 |
+
16,460,GPN-MSA.LogisticRegression.chrom.subset_from_all,0.3091402923838573
|
18 |
+
17,400,GPN-MSA.LogisticRegression.chrom.subset_from_all,0.24686546880186533
|
19 |
+
18,160,GPN-MSA.LogisticRegression.chrom.subset_from_all,0.35109847437276404
|
20 |
+
19,380,GPN-MSA.LogisticRegression.chrom.subset_from_all,0.3518527960251059
|
21 |
+
20,330,GPN-MSA.LogisticRegression.chrom.subset_from_all,0.28179303305086234
|
22 |
+
21,80,GPN-MSA.LogisticRegression.chrom.subset_from_all,0.18609570345023108
|
23 |
+
22,180,GPN-MSA.LogisticRegression.chrom.subset_from_all,0.3029030617330378
|
complex_traits_matched_9/AUPRC_by_chrom/pip_0.99/GPN-MSA_absLLR.plus.score.csv
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUPRC
|
2 |
+
1,670,GPN-MSA_absLLR.plus.score,0.2234575571865059
|
3 |
+
2,590,GPN-MSA_absLLR.plus.score,0.2248869704539049
|
4 |
+
3,420,GPN-MSA_absLLR.plus.score,0.28791689831394224
|
5 |
+
4,280,GPN-MSA_absLLR.plus.score,0.1894983956438711
|
6 |
+
5,320,GPN-MSA_absLLR.plus.score,0.262963587315398
|
7 |
+
6,570,GPN-MSA_absLLR.plus.score,0.18295067740146695
|
8 |
+
7,340,GPN-MSA_absLLR.plus.score,0.270236651251911
|
9 |
+
8,250,GPN-MSA_absLLR.plus.score,0.24651283406688085
|
10 |
+
9,280,GPN-MSA_absLLR.plus.score,0.25849968528552825
|
11 |
+
10,300,GPN-MSA_absLLR.plus.score,0.34356756390388354
|
12 |
+
11,480,GPN-MSA_absLLR.plus.score,0.19477036236627981
|
13 |
+
12,360,GPN-MSA_absLLR.plus.score,0.2758946401010386
|
14 |
+
13,150,GPN-MSA_absLLR.plus.score,0.22859424277167067
|
15 |
+
14,230,GPN-MSA_absLLR.plus.score,0.28696246971476946
|
16 |
+
15,260,GPN-MSA_absLLR.plus.score,0.18551638563100176
|
17 |
+
16,460,GPN-MSA_absLLR.plus.score,0.22303752694550455
|
18 |
+
17,400,GPN-MSA_absLLR.plus.score,0.18795037559321878
|
19 |
+
18,160,GPN-MSA_absLLR.plus.score,0.2498579578447251
|
20 |
+
19,380,GPN-MSA_absLLR.plus.score,0.207870939937029
|
21 |
+
20,330,GPN-MSA_absLLR.plus.score,0.256580655227985
|
22 |
+
21,80,GPN-MSA_absLLR.plus.score,0.12807775781566105
|
23 |
+
22,180,GPN-MSA_absLLR.plus.score,0.2672184872430526
|
complex_traits_matched_9/AUPRC_by_chrom/pleiotropy_no/CADD.LogisticRegression.chrom.subset_from_all.csv
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
chrom,n,Model,AUPRC
|
2 |
+
1,690,CADD.LogisticRegression.chrom.subset_from_all,0.2855842028986838
|
3 |
+
2,680,CADD.LogisticRegression.chrom.subset_from_all,0.2257981127490568
|
4 |
+
3,490,CADD.LogisticRegression.chrom.subset_from_all,0.24331243190127605
|
5 |
+
4,250,CADD.LogisticRegression.chrom.subset_from_all,0.208496778531628
|
6 |
+
5,420,CADD.LogisticRegression.chrom.subset_from_all,0.26286664812603233
|
7 |
+
6,610,CADD.LogisticRegression.chrom.subset_from_all,0.2247510064309058
|
8 |
+
7,360,CADD.LogisticRegression.chrom.subset_from_all,0.34906468192530976
|
9 |
+
8,380,CADD.LogisticRegression.chrom.subset_from_all,0.24528281353227302
|
10 |
+
9,330,CADD.LogisticRegression.chrom.subset_from_all,0.3286563997003058
|
11 |
+
10,390,CADD.LogisticRegression.chrom.subset_from_all,0.2580699253834983
|
12 |
+
11,530,CADD.LogisticRegression.chrom.subset_from_all,0.2118638291191843
|
13 |
+
12,450,CADD.LogisticRegression.chrom.subset_from_all,0.3836385042359118
|
14 |
+
13,160,CADD.LogisticRegression.chrom.subset_from_all,0.35347995166044105
|
15 |
+
14,310,CADD.LogisticRegression.chrom.subset_from_all,0.2556206225103568
|
16 |
+
15,270,CADD.LogisticRegression.chrom.subset_from_all,0.19247484511358626
|
17 |
+
16,380,CADD.LogisticRegression.chrom.subset_from_all,0.4344111177270008
|
18 |
+
17,400,CADD.LogisticRegression.chrom.subset_from_all,0.1450002602554552
|
19 |
+
18,190,CADD.LogisticRegression.chrom.subset_from_all,0.28296797426446363
|
20 |
+
19,410,CADD.LogisticRegression.chrom.subset_from_all,0.2206854239487696
|
21 |
+
20,420,CADD.LogisticRegression.chrom.subset_from_all,0.25627156377268245
|
22 |
+
21,110,CADD.LogisticRegression.chrom.subset_from_all,0.36159153262415855
|
23 |
+
22,240,CADD.LogisticRegression.chrom.subset_from_all,0.3314982914602221
|