{"id":"W3003794061","doi":"10.1093/bioinformatics/btaa049","title":"CoMeBack: DNA methylation array data analysis for co-methylated regions","year":2020,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Children's Hospital; Pacific Centre for Reproductive Medicine; Simon Fraser University; University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"DNA methylation; Methylation; DNA; Computational biology; Methylated DNA immunoprecipitation; Genetics; Biology; Computer science; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003825633,0.0001667094,0.0002359284,0.00009068057,0.0001235294,0.00004620833,0.0004106304,0.0001776831,0.00001711658],"category_scores_gemma":[0.0004028602,0.0001603066,0.0001460397,0.0004418851,0.00004743167,0.00001936748,0.0001020402,0.00006856908,0.00001471472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009887723,"about_ca_system_score_gemma":0.00006815364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003455585,"about_ca_topic_score_gemma":0.00001268949,"domain_scores_codex":[0.9988081,0.0000415405,0.0004768405,0.0002798684,0.0001743471,0.000219265],"domain_scores_gemma":[0.9986635,0.00004894639,0.0002442657,0.0007527408,0.0001358993,0.0001546303],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002974924,0.0001404003,0.0058334,0.0003126485,0.002774373,0.000001000195,0.001249859,0.007228387,0.9483035,0.001218288,0.01934174,0.01329896],"study_design_scores_gemma":[0.001295576,0.0005361706,0.001768793,0.000008181149,0.0008728047,8.08266e-7,0.0004416307,0.2455395,0.4836397,0.000475467,0.2647876,0.0006337313],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03247406,0.0004346682,0.9632511,0.000778186,0.00008283537,0.0004361711,0.001057309,0.0000371013,0.001448636],"genre_scores_gemma":[0.8874773,0.000350562,0.09146351,0.000758804,0.0003191153,0.00002054706,0.01943196,0.00003261973,0.0001456112],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8717875,"threshold_uncertainty_score":0.6537115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07130694085583668,"score_gpt":0.3210079563031324,"score_spread":0.2497010154472958,"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."}}