{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001199329,0.00005135679,0.00006154249,0.000009500252,0.0000255145,0.000006713875,0.00007715919,0.00006212402,0.0000125459],"category_scores_gemma":[0.00001687493,0.00005358898,0.00003682529,0.00008964456,0.00001930435,0.00000133188,0.00002576132,0.00001553689,0.00004030852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001127551,"about_ca_system_score_gemma":0.00001959597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001524743,"about_ca_topic_score_gemma":0.000003028139,"domain_scores_codex":[0.9995114,0.00001941384,0.000160565,0.0001453806,0.00007673286,0.00008649112],"domain_scores_gemma":[0.9996688,0.000003229523,0.00008203401,0.000171048,0.00005208516,0.00002284545],"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":[0.000006384616,0.00001632977,0.0005115868,0.00002875031,0.0000051037,1.339149e-7,0.00001669544,0.000374641,0.9555147,0.00000886813,0.04281625,0.0007005498],"study_design_scores_gemma":[0.0002298643,0.00003296392,0.004100024,0.00000724655,0.00000880775,7.591032e-7,0.00004516405,0.001506954,0.9866403,0.0003285705,0.007015672,0.00008362309],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951685,0.0006797445,0.002346414,0.00005823099,0.0001358465,0.0000689073,0.00006420636,0.00001633786,0.001461787],"genre_scores_gemma":[0.9972273,0.0001619314,0.00009422086,0.0000430796,0.0000544444,0.000005216671,0.0005266956,0.000006121918,0.001880976],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03580058,"threshold_uncertainty_score":0.2185295,"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."}}