{"id":"W4388221419","doi":"10.1016/j.cell.2023.10.006","title":"Global identification of SWI/SNF targets reveals compensation by EP400","year":2023,"lang":"en","type":"article","venue":"Cell","topic":"Chromatin Remodeling and Cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":79,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Institute of General Medical Sciences; Novartis Institutes for BioMedical Research; Novartis Pharmaceuticals Corporation; Harvard University; Canadian Institutes of Health Research; Harvard Medical School; Ludwig Center at Harvard; National Science Foundation","keywords":"SWI/SNF; Biology; SMARCA4; Chromatin remodeling; Chromatin structure remodeling (RSC) complex; Enhancer; Genetics; Promoter; Psychological repression; Chromatin; Transcription factor; Nucleosome; Gene; Cell biology; Computational biology; Cancer research; Gene expression","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":[0.0001957727,0.0003708535,0.0004112535,0.0006151447,0.0002849545,0.0005279117,0.0004809299,0.0004573929,0.004435424],"category_scores_gemma":[0.000176267,0.000279722,0.0002645885,0.000450175,0.0004703296,0.0002647694,0.0003430986,0.0005632916,0.00102981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000417889,"about_ca_system_score_gemma":0.000293221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001259846,"about_ca_topic_score_gemma":0.002332628,"domain_scores_codex":[0.9998243,0.00001270552,0.00001061521,0.00005211991,0.00005952684,0.00004082656],"domain_scores_gemma":[0.999887,0.00002157305,0.00001799828,0.00002454838,0.00001375856,0.00003516517],"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":[0.0001459441,0.00001987503,0.0003954099,0.00001233699,0.000005748002,0.00006180274,0.000006366379,0.00007639105,0.9973712,0.0002304989,0.00006090751,0.001613577],"study_design_scores_gemma":[0.00001891643,0.00009008951,0.01301152,0.000001590101,0.00001051246,0.0002137989,0.00002389214,0.001212693,0.9838508,0.0001997749,0.001361993,0.000004348895],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902142,0.0007683455,0.00398575,0.000160117,0.00002689342,0.00002301999,0.0009048247,0.0001798586,0.003736869],"genre_scores_gemma":[0.9922999,0.0002740894,0.001372647,0.00007306405,0.000006624021,0.00002671844,0.0009973238,0.00006803755,0.004881539],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004435424,"threshold_uncertainty_score":0.01483798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00914731602934939,"score_gpt":0.2606937447648273,"score_spread":0.2515464287354779,"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."}}