{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007772529,0.00009748068,0.0002884647,0.00005676912,0.00006259708,0.000007619796,0.0003618607,0.0001496188,0.00000918463],"category_scores_gemma":[0.000499926,0.00008751048,0.0001220534,0.0002188974,0.00004662207,0.000003795818,0.0001938858,0.00003091124,0.000004877381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004839228,"about_ca_system_score_gemma":0.00003608323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000766773,"about_ca_topic_score_gemma":0.00004781954,"domain_scores_codex":[0.9990735,0.00003674084,0.0004489095,0.0001450438,0.00006842558,0.0002273836],"domain_scores_gemma":[0.998715,0.00008167715,0.0002901381,0.0007705789,0.00009454956,0.00004806226],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001963493,0.0002616516,0.264603,0.0003923397,0.009032979,1.454261e-7,0.0004639231,0.1189526,0.006934203,0.005637037,0.5161812,0.07734457],"study_design_scores_gemma":[0.0005695205,0.0003075603,0.04318113,0.00000714686,0.001020232,0.000001217419,0.0001121776,0.6927654,0.0004025221,0.0003103776,0.2610633,0.0002594113],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.141552,0.000269648,0.8532306,0.0002293501,0.0002524598,0.0003143027,0.0004561176,0.00001757031,0.003677983],"genre_scores_gemma":[0.8175164,0.000156047,0.1754291,0.0007129185,0.0003425007,0.00001817384,0.00551082,0.00001406176,0.0002999917],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6778015,"threshold_uncertainty_score":0.3568574,"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."}}