{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005758674,0.00208356,0.001664904,0.003597935,0.0009595531,0.001812431,0.003113716,0.001777047,0.03148868],"category_scores_gemma":[0.02718596,0.001498916,0.001771962,0.002809557,0.0007235366,0.001989515,0.003613063,0.002107718,0.0138453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008651019,"about_ca_system_score_gemma":0.001753804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003577893,"about_ca_topic_score_gemma":0.006563612,"domain_scores_codex":[0.9962518,0.0009079061,0.0003074453,0.001269332,0.001082675,0.0001808543],"domain_scores_gemma":[0.9938577,0.003488397,0.0006819474,0.001129456,0.0005943552,0.0002480674],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004555637,0.0002985674,0.04751292,0.006666106,0.00255765,0.001319249,0.001075559,0.02141464,0.05939213,0.01834659,0.60803,0.228831],"study_design_scores_gemma":[0.001967622,0.0008640874,0.0651345,0.001191821,0.0009735588,0.002260209,0.0003614124,0.2618956,0.1405755,0.0898113,0.4340874,0.0008771011],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01231085,0.001023359,0.3906295,0.0007995555,0.0004090817,0.0005552262,0.255978,0.3345027,0.003791682],"genre_scores_gemma":[0.1132042,0.0006486247,0.49569,0.002113467,0.0002402452,0.003598618,0.3323873,0.04547505,0.00664254],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03148868,"threshold_uncertainty_score":0.1053401,"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."}}