{"id":"W4416751600","doi":"10.1093/bioadv/vbaf307","title":"Omics BioAnalytics: an RShiny application for multimodal biomarker panel discovery and assessment","year":2025,"lang":"en","type":"article","venue":"Bioinformatics Advances","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Paul's Hospital; University of British Columbia; Prevention of Organ Failure; Stornoway Diamond (Canada); Providence Health Care","funders":"National Institute of Allergy and Infectious Diseases; Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Biomarker discovery; Biomarker; Omics; Genomics; Precision medicine","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":[0.003250282,0.00260196,0.001094084,0.002385803,0.0007524542,0.002513063,0.002586327,0.001342815,0.04609185],"category_scores_gemma":[0.007924795,0.001227155,0.001595672,0.00129728,0.0008689215,0.002044307,0.005542272,0.001871189,0.02471834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00108506,"about_ca_system_score_gemma":0.002088782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004835111,"about_ca_topic_score_gemma":0.004684636,"domain_scores_codex":[0.9986383,0.0002055247,0.00009040582,0.0003607737,0.0005924349,0.0001126218],"domain_scores_gemma":[0.9980065,0.0007755252,0.0002060219,0.00044809,0.00035792,0.0002059044],"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":[0.003778403,0.0004068003,0.01362858,0.002513745,0.0008207154,0.002017425,0.001143055,0.01907753,0.06370237,0.02316364,0.5371521,0.3325956],"study_design_scores_gemma":[0.0008045635,0.0003638981,0.01427222,0.0009665093,0.0002673046,0.001588678,0.0003243455,0.2997449,0.09796246,0.06023561,0.5229003,0.0005691871],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.007565007,0.0009768103,0.4210743,0.001334124,0.000290351,0.0008726511,0.03192278,0.5230752,0.01288881],"genre_scores_gemma":[0.1376887,0.002258763,0.6362181,0.003935087,0.0004247967,0.003116647,0.0790021,0.111899,0.02545677],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.04609185,"threshold_uncertainty_score":0.1541926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01336817700406793,"score_gpt":0.3011272475436773,"score_spread":0.2877590705396094,"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."}}