{"id":"W2067738146","doi":"10.1016/j.gene.2014.02.034","title":"Genome wide DNA methylation profiling for epigenetic alteration in coronary artery disease patients","year":2014,"lang":"en","type":"article","venue":"Gene","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":105,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Technische Universität München; University Health Network","keywords":"DNA methylation; Biology; Epigenetics; Epigenome; Differentially methylated regions; CpG site; Coronary artery disease; Methylation; Bisulfite sequencing; Genetics; Disease; Bioinformatics; Gene; Internal medicine; Gene expression; Medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001780365,0.0001439761,0.0002205187,0.0006204161,0.0002289116,0.000349989,0.0001587533,0.0002979102,0.001659787],"category_scores_gemma":[0.0004865055,0.0001091262,0.0001903507,0.00050814,0.00009629046,0.0001144323,0.0001815271,0.0002787061,0.0002024405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000159703,"about_ca_system_score_gemma":0.0001205313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009955106,"about_ca_topic_score_gemma":0.001816736,"domain_scores_codex":[0.9998648,0.00002728805,0.00001383366,0.00003709405,0.00002804621,0.00002894784],"domain_scores_gemma":[0.9998848,0.00003149429,0.00003658464,0.000007447875,0.00001668828,0.00002289626],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00104432,0.00005721408,0.9579566,0.00002790695,0.0001340095,0.0002876188,0.0001023892,0.00009653159,0.03018903,0.00007830715,0.0002691297,0.00975695],"study_design_scores_gemma":[0.000008311161,0.0001085104,0.9955536,0.00000313942,0.00007549424,0.0005875202,0.00008669552,0.0002770962,0.002855141,0.00005776808,0.0003835981,0.000003157363],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979462,0.0004880162,0.0002261188,0.00007359304,0.00000622263,0.000006209712,0.0004701729,0.000009114778,0.0007743686],"genre_scores_gemma":[0.99909,0.000101352,0.0001232883,0.00003302113,0.000006741061,0.000005783123,0.0002678726,0.000001871056,0.0003701622],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001659787,"threshold_uncertainty_score":0.00555253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01045907114161719,"score_gpt":0.2413134147521805,"score_spread":0.2308543436105634,"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."}}