{"id":"W2133001645","doi":"10.1093/bioinformatics/btu644","title":"PINBPA: Cytoscape app for network analysis of GWAS data","year":2014,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"National Multiple Sclerosis Society","keywords":"Genome-wide association study; Computer science; Interface (matter); Data mining; Computational biology; Biology; Gene; Genetics; Operating system; Single-nucleotide polymorphism","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001757792,0.002339387,0.001709087,0.005781126,0.001176552,0.00190459,0.004161744,0.001480208,0.1833696],"category_scores_gemma":[0.01040603,0.001551119,0.001713277,0.003258089,0.000423789,0.002065304,0.00235006,0.003314325,0.05165394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007619986,"about_ca_system_score_gemma":0.003082197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006136739,"about_ca_topic_score_gemma":0.01061772,"domain_scores_codex":[0.9990091,0.0001949238,0.00007689998,0.0002520585,0.0003717188,0.0000952554],"domain_scores_gemma":[0.9958385,0.002600868,0.0002109684,0.0004677937,0.0005326002,0.0003493002],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000456615,0.0001218796,0.002427841,0.006410469,0.0008383763,0.0005490443,0.0003910039,0.005798063,0.007741378,0.008646895,0.89551,0.07110843],"study_design_scores_gemma":[0.000805048,0.00009983832,0.00766679,0.001020096,0.000508971,0.001108762,0.0001498528,0.06531422,0.02995647,0.06045158,0.8324513,0.0004670964],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.005944654,0.001367748,0.1968196,0.0009364825,0.001180448,0.0009747559,0.4073831,0.3704534,0.01493977],"genre_scores_gemma":[0.07699845,0.002793539,0.3574164,0.002648305,0.0006446895,0.01412739,0.4218726,0.0977639,0.02573469],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.1833696,"threshold_uncertainty_score":0.6134323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02469641138522122,"score_gpt":0.2854148186385947,"score_spread":0.2607184072533735,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}