{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000295574,0.0002058214,0.0001978114,0.00008213682,0.0001756709,0.0001466027,0.0002222266,0.000158349,8.505109e-7],"category_scores_gemma":[0.00002788463,0.0001820881,0.00007599332,0.00009960646,0.0001228872,0.00007756514,0.0001305206,0.0000766642,0.000001356331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002573811,"about_ca_system_score_gemma":0.0001166833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006719747,"about_ca_topic_score_gemma":0.00003693765,"domain_scores_codex":[0.9989386,0.00001244175,0.0004710994,0.000217398,0.00009442242,0.0002660719],"domain_scores_gemma":[0.999198,0.00003433623,0.0002047326,0.0003944021,0.00008855885,0.00007998192],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002989772,0.0002146405,0.003792959,0.0008707355,0.0003279576,2.724067e-7,0.0002517222,0.001445989,0.01824712,0.02788011,0.001494894,0.9451746],"study_design_scores_gemma":[0.00161289,0.0003078306,0.002895879,0.00004304948,0.00009651846,0.000005704186,0.001100546,0.7632313,0.004217575,0.005728451,0.2202201,0.0005401442],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05370199,0.00153488,0.9397532,0.0002476447,0.0003163018,0.0009383106,0.0002262829,0.0000287841,0.003252552],"genre_scores_gemma":[0.7861928,0.002366264,0.207929,0.001055613,0.0001779814,0.0001963108,0.00145976,0.00002792844,0.0005943236],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9446345,"threshold_uncertainty_score":0.7425339,"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."}}