{"id":"W3047365219","doi":"10.1038/s41467-020-17673-9","title":"An integrative multi-omics analysis to identify candidate DNA methylation biomarkers related to prostate cancer risk","year":2020,"lang":"en","type":"article","venue":"Nature Communications","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":246,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Princess Margaret Cancer Centre","funders":"National Cancer Institute; Cancer Council Victoria; Medical Research Council; Canadian Institutes of Health Research; School of Medicine, Vanderbilt University; Cancer Research Institute; Royal Marsden NHS Foundation Trust; Prostate Cancer Foundation of Australia; National Institute for Health and Care Research; European Commission; Breast Cancer Research Foundation; National Institutes of Health; Ovarian Cancer Research Fund; National Health and Medical Research Council; Cancer Research UK; Prostate Cancer Foundation; National Cancer Research Institute; Vanderbilt University","keywords":"DNA methylation; Prostate cancer; Omics; Computational biology; Bioinformatics; Biomarker discovery; Biomarker; Medicine; Cancer; Biology; Proteomics; Internal medicine; Genetics; Gene; Gene expression","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":[0.001768161,0.0008000004,0.001100631,0.002440769,0.0005660087,0.0009037541,0.0004786029,0.0002594626,0.002461365],"category_scores_gemma":[0.001866576,0.0002454991,0.001900887,0.002489164,0.0002379522,0.0003105012,0.0008816642,0.0004742676,0.0002723057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004346274,"about_ca_system_score_gemma":0.001003396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004241037,"about_ca_topic_score_gemma":0.006560454,"domain_scores_codex":[0.9993966,0.0002091853,0.00003831372,0.0001878046,0.0001068923,0.00006121067],"domain_scores_gemma":[0.9993612,0.0003093334,0.0001020805,0.0001053846,0.0000585781,0.00006340317],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00190714,0.0003400235,0.4818201,0.001097457,0.009288062,0.001020118,0.0004682606,0.02137101,0.3040622,0.004196249,0.002846002,0.1715833],"study_design_scores_gemma":[0.0002102009,0.0008899709,0.812901,0.0001017126,0.005268552,0.001007581,0.0004211231,0.1357227,0.025196,0.008176709,0.01002227,0.00008226455],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8762073,0.00474625,0.101113,0.001041977,0.00006582056,0.000210283,0.01244996,0.0008526319,0.003312816],"genre_scores_gemma":[0.9397993,0.001095232,0.05175151,0.0002022258,0.00004403784,0.0001293975,0.006159508,0.00007559987,0.0007432512],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004241037,"threshold_uncertainty_score":0.009351015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01595322796537514,"score_gpt":0.3673290854439765,"score_spread":0.3513758574786013,"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."}}