{"id":"W2935024989","doi":"10.1093/nar/gkz240","title":"NetworkAnalyst 3.0: a visual analytics platform for comprehensive gene expression profiling and meta-analysis","year":2019,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1976,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Génome Québec; Genome Canada","keywords":"Biology; Gene expression profiling; Profiling (computer programming); Computational biology; Gene expression; Meta-analysis; Visual analytics; Analytics; Gene; Bioinformatics; Data science; Genetics; Visualization; Data mining; Computer science; Internal medicine; Operating system","routes":{"ca_aff":true,"ca_fund":true,"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":[0.004141045,0.002203873,0.001905833,0.005229896,0.0008919278,0.003504146,0.002349593,0.0009977007,0.0297795],"category_scores_gemma":[0.005689866,0.001508314,0.00224943,0.00315137,0.0006447229,0.00307546,0.003416352,0.003576553,0.01016723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001009556,"about_ca_system_score_gemma":0.002661292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004037243,"about_ca_topic_score_gemma":0.00523601,"domain_scores_codex":[0.9982423,0.0003175618,0.0001623595,0.0004204654,0.0007031475,0.0001542111],"domain_scores_gemma":[0.9977908,0.001095184,0.0002486338,0.0003151349,0.0003729229,0.0001774109],"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":[0.002856578,0.0004009167,0.01154059,0.007400289,0.002630897,0.001204271,0.002424937,0.02801757,0.08619834,0.03673301,0.5387231,0.2818695],"study_design_scores_gemma":[0.0005695794,0.0002827248,0.01328519,0.001099057,0.0006314924,0.0009611503,0.0005563305,0.1562756,0.05517884,0.09893848,0.6715984,0.0006232609],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.008098569,0.002254951,0.4508807,0.001094987,0.0006009756,0.0005118718,0.1342159,0.3932091,0.00913285],"genre_scores_gemma":[0.07993786,0.003536374,0.628795,0.00167647,0.000313807,0.003717958,0.205698,0.06235481,0.01396976],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.0297795,"threshold_uncertainty_score":0.09962231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09194025591472658,"score_gpt":0.3672860128216967,"score_spread":0.2753457569069701,"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."}}