{"id":"W3207128141","doi":"10.1186/s13073-021-00970-3","title":"Integrative epigenomic and high-throughput functional enhancer profiling reveals determinants of enhancer heterogeneity in gastric cancer","year":2021,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Genomics and Chromatin Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Montreal Heart Institute","funders":"Cancer Science Institute of Singapore, National University of Singapore; National Research Foundation; Ministry of Education - Singapore; National Medical Research Council; National Research Foundation Singapore; Genome Institute of Singapore; Agency for Science, Technology and Research; Medical Research Council; Duke-NUS Medical School","keywords":"Enhancer; Epigenomics; Biology; Histone; Genetics; Computational biology; Single-nucleotide polymorphism; Chromatin immunoprecipitation; Chromatin; Functional genomics; Gene; Transcription factor; Gene expression; Genomics; Genome; DNA methylation; Promoter","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":[0.0003059793,0.0001994136,0.0002677962,0.0005619212,0.00008369765,0.000242029,0.0001884967,0.0002041109,0.0006303957],"category_scores_gemma":[0.0003351689,0.0001434823,0.0002875348,0.0003145822,0.0001480498,0.0001234372,0.000232306,0.0002181145,0.0002014205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001706011,"about_ca_system_score_gemma":0.0001083077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007684691,"about_ca_topic_score_gemma":0.00229154,"domain_scores_codex":[0.999851,0.00001842937,0.000006735897,0.00006500206,0.000037388,0.00002134495],"domain_scores_gemma":[0.9997751,0.00008565321,0.00005537745,0.0000304412,0.0000285622,0.0000247962],"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":[0.0002927102,0.00003366786,0.06351667,0.0001434927,0.00009364668,0.00008906885,0.0001044058,0.002095105,0.9166759,0.0001691738,0.0001556724,0.01663058],"study_design_scores_gemma":[0.00002727484,0.0003034936,0.7208547,0.00002000537,0.0002802629,0.0009978601,0.0001544472,0.0320522,0.2408441,0.00052637,0.003909532,0.00002964844],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919981,0.000653698,0.005600792,0.00001778325,0.000001996362,0.00001085037,0.001232513,0.0001292935,0.0003550596],"genre_scores_gemma":[0.9917008,0.0002233671,0.005145221,0.00003024095,0.000003202162,0.00001769296,0.002510881,0.00003694817,0.0003316038],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007684691,"threshold_uncertainty_score":0.002108932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01281376269654895,"score_gpt":0.2736546094825726,"score_spread":0.2608408467860237,"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."}}