{"id":"W1827491256","doi":"","title":"Integrated analysis of epigenomic and genomic changes by DNA methylation dependent mechanisms provides potential novel biomarkers for prostate cancer","year":2014,"lang":"en","type":"article","venue":"PubMed Central","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network; Lunenfeld-Tanenbaum Research Institute; University of Toronto","funders":"","keywords":"Epigenomics; DNA methylation; Prostate cancer; Cancer; Medicine; Epigenetics; Cancer research; Methylation; Computational biology; DNA; Bioinformatics; Biology; Genetics; Internal medicine; Gene expression; Gene","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002845201,0.0002835498,0.0004601627,0.001279963,0.0001325622,0.0004096887,0.0002178109,0.0002124455,0.001761928],"category_scores_gemma":[0.0003821489,0.0001445303,0.0001916934,0.001047627,0.0001586492,0.0002926953,0.0002272658,0.0003551089,0.0003119793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003236487,"about_ca_system_score_gemma":0.0003074319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001010844,"about_ca_topic_score_gemma":0.003047902,"domain_scores_codex":[0.9998469,0.00002814275,0.00001029425,0.00004881385,0.00004419816,0.00002160663],"domain_scores_gemma":[0.999846,0.00003196406,0.00005869376,0.00001337423,0.00002842991,0.00002155322],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00081274,0.00009956175,0.1017409,0.0006606556,0.0003083613,0.0001660329,0.00006757443,0.0008661702,0.817063,0.0005549514,0.001015221,0.07664476],"study_design_scores_gemma":[0.00004555564,0.0005671863,0.7383018,0.00005990204,0.0004043031,0.00108638,0.0001351513,0.004780387,0.2416843,0.001289855,0.01161137,0.00003380978],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9344959,0.03173662,0.01799234,0.0008846518,0.00007384901,0.0001282722,0.01073081,0.0004217643,0.003535703],"genre_scores_gemma":[0.9825828,0.005886776,0.006356209,0.0001893089,0.00004285346,0.00004777859,0.003258491,0.00001601918,0.001619693],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001761928,"threshold_uncertainty_score":0.005894303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009072227242593756,"score_gpt":0.2249381873463437,"score_spread":0.2158659601037499,"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."}}