{"id":"W3163279211","doi":"10.1093/nar/gkab394","title":"OmicsAnalyst: a comprehensive web-based platform for visual analytics of multi-omics data","year":2021,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":100,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Genome Canada","keywords":"Bottleneck; Visual analytics; Personalization; Analytics; Cluster analysis; Computer science; Univariate; Visualization; Data analysis; Data science; Data mining; Multivariate statistics; Machine learning; World Wide Web","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007824198,0.0001533925,0.0002856985,0.000112646,0.0001506143,0.00005713131,0.0006993017,0.0002650319,0.00003220907],"category_scores_gemma":[0.0002625434,0.0001519351,0.0001350149,0.0003011803,0.0002384635,0.00000845076,0.0007905108,0.0002576654,0.00001034211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003263057,"about_ca_system_score_gemma":0.0006886226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001289413,"about_ca_topic_score_gemma":0.00008825392,"domain_scores_codex":[0.9982854,0.00006404991,0.0004258206,0.0004340763,0.000317845,0.0004727687],"domain_scores_gemma":[0.9975906,0.0001196851,0.0001099058,0.001160469,0.0008837085,0.000135622],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009219765,0.0006748021,0.001764172,0.0005593587,0.0008195986,0.00001727612,0.0001359428,0.003648122,0.9275634,0.0007519079,0.03500771,0.02813572],"study_design_scores_gemma":[0.002652439,0.0003570571,0.0002943572,0.0000283027,0.00004805788,0.000008127712,0.000620976,0.8322226,0.07735938,0.0001398489,0.08603101,0.0002378358],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9263287,0.001716917,0.06830685,0.0003987253,0.0002141794,0.0008039552,0.001344109,0.0000171239,0.0008694954],"genre_scores_gemma":[0.9673786,0.0003471908,0.02827427,0.0002461571,0.0002202373,0.00001632704,0.003075575,0.00004179288,0.0003998852],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8502041,"threshold_uncertainty_score":0.6195735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1096683964583346,"score_gpt":0.3872323548176621,"score_spread":0.2775639583593275,"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."}}