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0000000000000000000000000000000000000000..99320b288f902ebca00926d90e95d16b64140bea --- /dev/null +++ b/complex_traits_matched_9/AUPRC_by_chrom/all/CADD.LogisticRegression.chrom.csv @@ -0,0 +1,23 @@ +chrom,n,Model,AUPRC +1,1000,CADD.LogisticRegression.chrom,0.2804234370631062 +2,900,CADD.LogisticRegression.chrom,0.2490996879081556 +3,650,CADD.LogisticRegression.chrom,0.3040601808375204 +4,400,CADD.LogisticRegression.chrom,0.22726532803237684 +5,510,CADD.LogisticRegression.chrom,0.2574917985919467 +6,780,CADD.LogisticRegression.chrom,0.24632164836930184 +7,540,CADD.LogisticRegression.chrom,0.34919621490990665 +8,460,CADD.LogisticRegression.chrom,0.2814117622700229 +9,440,CADD.LogisticRegression.chrom,0.31992984736897595 +10,510,CADD.LogisticRegression.chrom,0.3197919111398827 +11,680,CADD.LogisticRegression.chrom,0.2571249546574229 +12,590,CADD.LogisticRegression.chrom,0.4038516341989517 +13,200,CADD.LogisticRegression.chrom,0.3383637257062684 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b/complex_traits_matched_9/AUPRC_by_chrom/no_cadd_overlap/Borzoi_L2_L2.plus.all.csv new file mode 100644 index 0000000000000000000000000000000000000000..4780405d746a1db5b23bb7e5889c2f050c956e57 --- /dev/null +++ b/complex_traits_matched_9/AUPRC_by_chrom/no_cadd_overlap/Borzoi_L2_L2.plus.all.csv @@ -0,0 +1,23 @@ +chrom,n,Model,AUPRC +1,830,Borzoi_L2_L2.plus.all,0.24347862207401794 +2,800,Borzoi_L2_L2.plus.all,0.23569504252527518 +3,590,Borzoi_L2_L2.plus.all,0.2130026513230719 +4,350,Borzoi_L2_L2.plus.all,0.24234817956268126 +5,390,Borzoi_L2_L2.plus.all,0.2791592358807009 +6,710,Borzoi_L2_L2.plus.all,0.15549167769211836 +7,490,Borzoi_L2_L2.plus.all,0.2878432803622726 +8,390,Borzoi_L2_L2.plus.all,0.17283095034796553 +9,410,Borzoi_L2_L2.plus.all,0.19114035015497088 +10,470,Borzoi_L2_L2.plus.all,0.17465963033811824 +11,610,Borzoi_L2_L2.plus.all,0.21316548581658645 +12,510,Borzoi_L2_L2.plus.all,0.2758205281834588 +13,190,Borzoi_L2_L2.plus.all,0.3456033270154591 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b/complex_traits_matched_9/AUPRC_by_chrom/no_cadd_overlap/CADD.plus.RawScore.csv @@ -0,0 +1,23 @@ +chrom,n,Model,AUPRC +1,830,CADD.plus.RawScore,0.24817302045502623 +2,800,CADD.plus.RawScore,0.2448383287173504 +3,590,CADD.plus.RawScore,0.2675244475040181 +4,350,CADD.plus.RawScore,0.22819049338662972 +5,390,CADD.plus.RawScore,0.21940603000837644 +6,710,CADD.plus.RawScore,0.19104519016723423 +7,490,CADD.plus.RawScore,0.2837826047704 +8,390,CADD.plus.RawScore,0.19906163060737722 +9,410,CADD.plus.RawScore,0.22223238034261114 +10,470,CADD.plus.RawScore,0.3027860320943214 +11,610,CADD.plus.RawScore,0.2122015863300278 +12,510,CADD.plus.RawScore,0.27709129216353107 +13,190,CADD.plus.RawScore,0.34869651306843147 +14,340,CADD.plus.RawScore,0.2558262232765123 +15,390,CADD.plus.RawScore,0.17299998697590066 +16,550,CADD.plus.RawScore,0.34320513773922595 +17,530,CADD.plus.RawScore,0.18000598677967372 +18,260,CADD.plus.RawScore,0.3091598181662167 +19,460,CADD.plus.RawScore,0.19984540730330871 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+1,830,Caduceus_Embeddings.minus.inner_product,0.08986395526562546 +2,800,Caduceus_Embeddings.minus.inner_product,0.11241543207168761 +3,590,Caduceus_Embeddings.minus.inner_product,0.1247710010566834 +4,350,Caduceus_Embeddings.minus.inner_product,0.11547324140191996 +5,390,Caduceus_Embeddings.minus.inner_product,0.16974684914851423 +6,710,Caduceus_Embeddings.minus.inner_product,0.13251416858028645 +7,490,Caduceus_Embeddings.minus.inner_product,0.07684300192623231 +8,390,Caduceus_Embeddings.minus.inner_product,0.11573370652807786 +9,410,Caduceus_Embeddings.minus.inner_product,0.10422546469147957 +10,470,Caduceus_Embeddings.minus.inner_product,0.08789755271267101 +11,610,Caduceus_Embeddings.minus.inner_product,0.14940854694686995 +12,510,Caduceus_Embeddings.minus.inner_product,0.17216757114074832 +13,190,Caduceus_Embeddings.minus.inner_product,0.1754128637982437 +14,340,Caduceus_Embeddings.minus.inner_product,0.10856264985113517 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a/complex_traits_matched_9/AUPRC_by_chrom/no_cadd_overlap/Sei.LogisticRegression.chrom.subset_from_all.csv b/complex_traits_matched_9/AUPRC_by_chrom/no_cadd_overlap/Sei.LogisticRegression.chrom.subset_from_all.csv new file mode 100644 index 0000000000000000000000000000000000000000..4a94e4f91e454498505de34e4610a9cd0c33dc97 --- /dev/null +++ b/complex_traits_matched_9/AUPRC_by_chrom/no_cadd_overlap/Sei.LogisticRegression.chrom.subset_from_all.csv @@ -0,0 +1,23 @@ +chrom,n,Model,AUPRC +1,830,Sei.LogisticRegression.chrom.subset_from_all,0.17270466477128824 +2,800,Sei.LogisticRegression.chrom.subset_from_all,0.20067515244864348 +3,590,Sei.LogisticRegression.chrom.subset_from_all,0.16139763605782437 +4,350,Sei.LogisticRegression.chrom.subset_from_all,0.22098134507071318 +5,390,Sei.LogisticRegression.chrom.subset_from_all,0.17993193133686985 +6,710,Sei.LogisticRegression.chrom.subset_from_all,0.14772550325317113 +7,490,Sei.LogisticRegression.chrom.subset_from_all,0.18779590540213909 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b/complex_traits_matched_9/AUPRC_by_chrom/no_eqtl_overlap/Borzoi.LogisticRegression.chrom.subset_from_all.csv new file mode 100644 index 0000000000000000000000000000000000000000..9ec6f27a24def57fb44a4b1ecd0600c2d7cfe231 --- /dev/null +++ b/complex_traits_matched_9/AUPRC_by_chrom/no_eqtl_overlap/Borzoi.LogisticRegression.chrom.subset_from_all.csv @@ -0,0 +1,23 @@ +chrom,n,Model,AUPRC +1,840,Borzoi.LogisticRegression.chrom.subset_from_all,0.27570960430610597 +2,830,Borzoi.LogisticRegression.chrom.subset_from_all,0.22221586550252279 +3,620,Borzoi.LogisticRegression.chrom.subset_from_all,0.26998624486946865 +4,370,Borzoi.LogisticRegression.chrom.subset_from_all,0.2700226492925817 +5,450,Borzoi.LogisticRegression.chrom.subset_from_all,0.27881655968570473 +6,740,Borzoi.LogisticRegression.chrom.subset_from_all,0.18485289974065 +7,470,Borzoi.LogisticRegression.chrom.subset_from_all,0.37154254638384954 +8,440,Borzoi.LogisticRegression.chrom.subset_from_all,0.25088045644847357 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0000000000000000000000000000000000000000..fce696a0b13c526b4aa51ca40f451e91493c4173 --- /dev/null +++ b/complex_traits_matched_9/AUPRC_by_chrom/non_coding_transcript_exon_variant/GPN_final_Embeddings.plus.euclidean_distance.csv @@ -0,0 +1,19 @@ +chrom,n,Model,AUPRC +1,80,GPN_final_Embeddings.plus.euclidean_distance,0.13797003924177326 +2,50,GPN_final_Embeddings.plus.euclidean_distance,0.09868348111374341 +3,20,GPN_final_Embeddings.plus.euclidean_distance,0.3611111111111111 +4,10,GPN_final_Embeddings.plus.euclidean_distance,0.125 +5,40,GPN_final_Embeddings.plus.euclidean_distance,0.10965686274509803 +6,80,GPN_final_Embeddings.plus.euclidean_distance,0.13036775629834335 +8,40,GPN_final_Embeddings.plus.euclidean_distance,0.1309655257023678 +9,30,GPN_final_Embeddings.plus.euclidean_distance,0.19365079365079366 +10,20,GPN_final_Embeddings.plus.euclidean_distance,0.21666666666666667 +11,70,GPN_final_Embeddings.plus.euclidean_distance,0.151261139138314 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a/complex_traits_matched_9/AUPRC_by_chrom/pip_0.999/Borzoi.LogisticRegression.chrom.subset_from_all.csv b/complex_traits_matched_9/AUPRC_by_chrom/pip_0.999/Borzoi.LogisticRegression.chrom.subset_from_all.csv new file mode 100644 index 0000000000000000000000000000000000000000..9055d05a5fb2391fa94a8ddcbc329e73ab63d122 --- /dev/null +++ b/complex_traits_matched_9/AUPRC_by_chrom/pip_0.999/Borzoi.LogisticRegression.chrom.subset_from_all.csv @@ -0,0 +1,23 @@ +chrom,n,Model,AUPRC +1,500,Borzoi.LogisticRegression.chrom.subset_from_all,0.40160981306719634 +2,420,Borzoi.LogisticRegression.chrom.subset_from_all,0.31242617973931014 +3,290,Borzoi.LogisticRegression.chrom.subset_from_all,0.31982418993285594 +4,160,Borzoi.LogisticRegression.chrom.subset_from_all,0.3166316197652608 +5,250,Borzoi.LogisticRegression.chrom.subset_from_all,0.30875111057312216 +6,420,Borzoi.LogisticRegression.chrom.subset_from_all,0.23352090710443865 +7,290,Borzoi.LogisticRegression.chrom.subset_from_all,0.5230464592841576 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a/complex_traits_matched_9/AUPRC_by_chrom/pleiotropy_no/CADD.plus.RawScore.csv b/complex_traits_matched_9/AUPRC_by_chrom/pleiotropy_no/CADD.plus.RawScore.csv new file mode 100644 index 0000000000000000000000000000000000000000..259975c484f8710363f71262c05569727533ca90 --- /dev/null +++ b/complex_traits_matched_9/AUPRC_by_chrom/pleiotropy_no/CADD.plus.RawScore.csv @@ -0,0 +1,23 @@ +chrom,n,Model,AUPRC +1,690,CADD.plus.RawScore,0.2899593242872299 +2,680,CADD.plus.RawScore,0.2600427976025156 +3,490,CADD.plus.RawScore,0.2246456921027958 +4,250,CADD.plus.RawScore,0.21879282093985442 +5,420,CADD.plus.RawScore,0.24477238920970984 +6,610,CADD.plus.RawScore,0.17566241030460944 +7,360,CADD.plus.RawScore,0.2587281345632342 +8,380,CADD.plus.RawScore,0.18691204733842282 +9,330,CADD.plus.RawScore,0.23565671083954637 +10,390,CADD.plus.RawScore,0.24177744681319982 +11,530,CADD.plus.RawScore,0.19030312834050367 +12,450,CADD.plus.RawScore,0.24161365334774848 +13,160,CADD.plus.RawScore,0.38777794350457634 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a/complex_traits_matched_9/AUPRC_by_chrom_weighted_average/all/Caduceus_LLR.minus.score.csv b/complex_traits_matched_9/AUPRC_by_chrom_weighted_average/all/Caduceus_LLR.minus.score.csv new file mode 100644 index 0000000000000000000000000000000000000000..bba3f5e7ee0fe2f756ac44abce6e60308124e447 --- /dev/null +++ b/complex_traits_matched_9/AUPRC_by_chrom_weighted_average/all/Caduceus_LLR.minus.score.csv @@ -0,0 +1,2 @@ +model,metric,score,se +Caduceus_LLR.minus.score,AUPRC,0.09827404703580568,0.0018751240045551348 diff --git a/complex_traits_matched_9/AUPRC_by_chrom_weighted_average/all/GPN-MSA.LogisticRegression.chrom.csv b/complex_traits_matched_9/AUPRC_by_chrom_weighted_average/all/GPN-MSA.LogisticRegression.chrom.csv new file mode 100644 index 0000000000000000000000000000000000000000..86c91e5218f2e77ee4378cdd83b56a0dd2674c96 --- /dev/null +++ b/complex_traits_matched_9/AUPRC_by_chrom_weighted_average/all/GPN-MSA.LogisticRegression.chrom.csv @@ -0,0 +1,2 @@ +model,metric,score,se 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b/complex_traits_matched_9/AUPRC_by_chrom_weighted_average/all/GPN-MSA_LLR.minus.score.csv @@ -0,0 +1,2 @@ +model,metric,score,se +GPN-MSA_LLR.minus.score,AUPRC,0.21228626606172205,0.00969117255181866 diff --git a/complex_traits_matched_9/AUPRC_by_chrom_weighted_average/all/GPN-MSA_absLLR.plus.score.csv b/complex_traits_matched_9/AUPRC_by_chrom_weighted_average/all/GPN-MSA_absLLR.plus.score.csv new file mode 100644 index 0000000000000000000000000000000000000000..4bdad7b29bddf199c47fe784905d20fcca7378a7 --- /dev/null +++ b/complex_traits_matched_9/AUPRC_by_chrom_weighted_average/all/GPN-MSA_absLLR.plus.score.csv @@ -0,0 +1,2 @@ +model,metric,score,se +GPN-MSA_absLLR.plus.score,AUPRC,0.22364303968775792,0.009396245805515136 diff --git a/complex_traits_matched_9/AUPRC_by_chrom_weighted_average/all/NucleotideTransformer_Embeddings.plus.cosine_distance.csv b/complex_traits_matched_9/AUPRC_by_chrom_weighted_average/all/NucleotideTransformer_Embeddings.plus.cosine_distance.csv new file mode 100644 index 0000000000000000000000000000000000000000..4feab700e3aa0d21b3cbc387d32933d9b350a12d --- /dev/null +++ b/complex_traits_matched_9/AUPRC_by_chrom_weighted_average/all/NucleotideTransformer_Embeddings.plus.cosine_distance.csv @@ -0,0 +1,2 @@ +model,metric,score,se +NucleotideTransformer_Embeddings.plus.cosine_distance,AUPRC,0.1193933461045718,0.004889139464964602 diff --git a/complex_traits_matched_9/AUPRC_by_chrom_weighted_average/all/NucleotideTransformer_LLR.minus.score.csv b/complex_traits_matched_9/AUPRC_by_chrom_weighted_average/all/NucleotideTransformer_LLR.minus.score.csv new file mode 100644 index 0000000000000000000000000000000000000000..c7e9d92669b3d9241488667ac96ff935ff6a6fbc --- /dev/null +++ b/complex_traits_matched_9/AUPRC_by_chrom_weighted_average/all/NucleotideTransformer_LLR.minus.score.csv @@ -0,0 +1,2 @@ +model,metric,score,se +NucleotideTransformer_LLR.minus.score,AUPRC,0.10076762170998918,0.0022255582792926097 diff --git a/complex_traits_matched_9/AUPRC_by_chrom_weighted_average/nonexonic_AND_distal/GPN_final.LogisticRegression.chrom.subset_from_all.csv b/complex_traits_matched_9/AUPRC_by_chrom_weighted_average/nonexonic_AND_distal/GPN_final.LogisticRegression.chrom.subset_from_all.csv new file mode 100644 index 0000000000000000000000000000000000000000..6873b4585724a934e9b4f7cbf8215ddacb3f0ab9 --- /dev/null +++ b/complex_traits_matched_9/AUPRC_by_chrom_weighted_average/nonexonic_AND_distal/GPN_final.LogisticRegression.chrom.subset_from_all.csv @@ -0,0 +1,2 @@ +model,metric,score,se +GPN_final.LogisticRegression.chrom.subset_from_all,AUPRC,0.18298794904349316,0.008315225005426237 diff --git a/complex_traits_matched_9/AUPRC_by_chrom_weighted_average/nonexonic_AND_distal/GPN_final_Embeddings.plus.euclidean_distance.csv b/complex_traits_matched_9/AUPRC_by_chrom_weighted_average/nonexonic_AND_distal/GPN_final_Embeddings.plus.euclidean_distance.csv new file mode 100644 index 0000000000000000000000000000000000000000..e02de304c0f11e166d7c6a03c482a0efba95e87f --- /dev/null +++ b/complex_traits_matched_9/AUPRC_by_chrom_weighted_average/nonexonic_AND_distal/GPN_final_Embeddings.plus.euclidean_distance.csv @@ -0,0 +1,2 @@ +model,metric,score,se +GPN_final_Embeddings.plus.euclidean_distance,AUPRC,0.11882216892245144,0.0037848983049594545 diff --git a/complex_traits_matched_9/AUPRC_by_chrom_weighted_average/pleiotropy_yes/Borzoi.LogisticRegression.chrom.subset_from_all.csv b/complex_traits_matched_9/AUPRC_by_chrom_weighted_average/pleiotropy_yes/Borzoi.LogisticRegression.chrom.subset_from_all.csv new file mode 100644 index 0000000000000000000000000000000000000000..8fe8accda55a681911d86af8b7be7192a84e2265 --- /dev/null +++ b/complex_traits_matched_9/AUPRC_by_chrom_weighted_average/pleiotropy_yes/Borzoi.LogisticRegression.chrom.subset_from_all.csv @@ -0,0 +1,2 @@ +model,metric,score,se +Borzoi.LogisticRegression.chrom.subset_from_all,AUPRC,0.4281481132822651,0.02776972975313304 diff --git a/complex_traits_matched_9/AUPRC_by_chrom_weighted_average/pleiotropy_yes/Borzoi_L2_L2.plus.all.csv b/complex_traits_matched_9/AUPRC_by_chrom_weighted_average/pleiotropy_yes/Borzoi_L2_L2.plus.all.csv new file mode 100644 index 0000000000000000000000000000000000000000..0ffcf1d37b281383fe419456ae58a188d829200e --- /dev/null +++ b/complex_traits_matched_9/AUPRC_by_chrom_weighted_average/pleiotropy_yes/Borzoi_L2_L2.plus.all.csv @@ -0,0 +1,2 @@ +model,metric,score,se +Borzoi_L2_L2.plus.all,AUPRC,0.35667399913028724,0.023319247256687655 diff --git a/complex_traits_matched_9/AUPRC_by_chrom_weighted_average/pleiotropy_yes/CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.subset_from_all.csv b/complex_traits_matched_9/AUPRC_by_chrom_weighted_average/pleiotropy_yes/CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.subset_from_all.csv new file mode 100644 index 0000000000000000000000000000000000000000..0e2e885f68147827c59a1853054055f05e05fed3 --- /dev/null +++ b/complex_traits_matched_9/AUPRC_by_chrom_weighted_average/pleiotropy_yes/CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.subset_from_all.csv @@ -0,0 +1,2 @@ +model,metric,score,se +CADD+GPN-MSA+Borzoi.LogisticRegression.chrom.subset_from_all,AUPRC,0.49505105280122913,0.024317392112854965 diff --git a/complex_traits_matched_9/AUPRC_by_chrom_weighted_average/pleiotropy_yes/CADD.LogisticRegression.chrom.subset_from_all.csv b/complex_traits_matched_9/AUPRC_by_chrom_weighted_average/pleiotropy_yes/CADD.LogisticRegression.chrom.subset_from_all.csv new file mode 100644 index 0000000000000000000000000000000000000000..9451d5ef96e9e6784b65b8ffbada2f6754f1cf53 --- /dev/null +++ b/complex_traits_matched_9/AUPRC_by_chrom_weighted_average/pleiotropy_yes/CADD.LogisticRegression.chrom.subset_from_all.csv @@ -0,0 +1,2 @@ +model,metric,score,se +CADD.LogisticRegression.chrom.subset_from_all,AUPRC,0.38408142120137384,0.023784291031503924 diff --git a/complex_traits_matched_9/AUPRC_by_chrom_weighted_average/pleiotropy_yes/CADD.plus.RawScore.csv b/complex_traits_matched_9/AUPRC_by_chrom_weighted_average/pleiotropy_yes/CADD.plus.RawScore.csv new file mode 100644 index 0000000000000000000000000000000000000000..af49fb450d838dad27aad822460f78df8664918d --- /dev/null +++ b/complex_traits_matched_9/AUPRC_by_chrom_weighted_average/pleiotropy_yes/CADD.plus.RawScore.csv @@ -0,0 +1,2 @@ +model,metric,score,se +CADD.plus.RawScore,AUPRC,0.3438439138834306,0.02387308618916494 diff --git a/complex_traits_matched_9/AUPRC_by_chrom_weighted_average/pleiotropy_yes/GPN-MSA.LogisticRegression.chrom.subset_from_all.csv b/complex_traits_matched_9/AUPRC_by_chrom_weighted_average/pleiotropy_yes/GPN-MSA.LogisticRegression.chrom.subset_from_all.csv new file mode 100644 index 0000000000000000000000000000000000000000..cdb5ab3de394893c7b7fc354013dc69d41b50cd8 --- /dev/null +++ b/complex_traits_matched_9/AUPRC_by_chrom_weighted_average/pleiotropy_yes/GPN-MSA.LogisticRegression.chrom.subset_from_all.csv @@ -0,0 +1,2 @@ +model,metric,score,se +GPN-MSA.LogisticRegression.chrom.subset_from_all,AUPRC,0.3399748738589299,0.024311023494846876 diff --git a/complex_traits_matched_9/AUPRC_by_chrom_weighted_average/pleiotropy_yes/GPN-MSA_absLLR.plus.score.csv b/complex_traits_matched_9/AUPRC_by_chrom_weighted_average/pleiotropy_yes/GPN-MSA_absLLR.plus.score.csv new file mode 100644 index 0000000000000000000000000000000000000000..d78c9ffb91e8e41b10cbebf872a53ab893d0fb7c --- /dev/null +++ b/complex_traits_matched_9/AUPRC_by_chrom_weighted_average/pleiotropy_yes/GPN-MSA_absLLR.plus.score.csv @@ -0,0 +1,2 @@ +model,metric,score,se +GPN-MSA_absLLR.plus.score,AUPRC,0.3019354389358988,0.024214074203111415 diff --git 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