{"id":"W4412863074","doi":"10.1101/2025.07.31.668008","title":"Breast cancer identity is defined by specialized enhancer sets via lysine deacetylation","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Genomics and Chromatin Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Cancer Research","funders":"Daiichi Sankyo Europe; Japan Society for the Promotion of Science; Daiichi Sankyo Foundation of Life Science; Japan Agency for Medical Research and Development","keywords":"Acetylation; Enhancer; Lysine; Identity (music); Breast cancer; Cancer; Computational biology; Chemistry; Biology; Biochemistry; Genetics; Gene; Amino acid; Transcription factor; Art","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":[0.0001808673,0.0001020695,0.000212418,0.0002374801,0.00009629368,0.0002869359,0.00009588538,0.00008535016,0.001412848],"category_scores_gemma":[0.0002552684,0.0001160044,0.0001185285,0.0002590569,0.0001498967,0.0001163622,0.0002167409,0.0002311516,0.0003555769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001777423,"about_ca_system_score_gemma":0.0001428477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006937459,"about_ca_topic_score_gemma":0.0009666521,"domain_scores_codex":[0.9999061,0.000009469622,0.000004082315,0.00003839073,0.00002330804,0.00001866803],"domain_scores_gemma":[0.9998477,0.00003439143,0.00005398486,0.0000304695,0.00001587729,0.00001756782],"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":[0.0005935709,0.00004041959,0.05265091,0.0001009652,0.00004293289,0.0001427282,0.0001162484,0.001058047,0.9169673,0.00202397,0.0008106771,0.02545216],"study_design_scores_gemma":[0.00005889278,0.0001663331,0.5886494,0.00002178052,0.00006692253,0.001117638,0.0001294697,0.01077531,0.3808087,0.003662304,0.01452431,0.00001902042],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.985109,0.0009669408,0.009455129,0.00009530017,0.000009156526,0.00001344143,0.001809433,0.0002655906,0.002276055],"genre_scores_gemma":[0.9928761,0.0002549037,0.003048509,0.00004017519,0.000009844914,0.000008916465,0.002335745,0.00002801913,0.001397943],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001412848,"threshold_uncertainty_score":0.00472641,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005866243378091909,"score_gpt":0.2311079313871642,"score_spread":0.2252416880090723,"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."}}