{"id":"W2912582226","doi":"10.2174/1568026619666190125145110","title":"Research Advances in the Use of Histone Deacetylase Inhibitors for Epigenetic Targeting of Cancer","year":2019,"lang":"en","type":"review","venue":"Current Topics in Medicinal Chemistry","topic":"Histone Deacetylase Inhibitors Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Scientific Research Funds of Jilin Province of Health and Family Planning Commission; Science and Technology Innovative Research Team in Higher Educational Institutions of Hunan Province; Department of Science and Technology of Jilin Province; Education Department of Jilin Province","keywords":"Epigenetics; Histone deacetylase; Histone; Epigenetic therapy; Cancer; Cancer epigenetics; Chromatin remodeling; Cancer research; Bioinformatics; Chromatin; Vorinostat; Medicine; Computational biology; Biology; DNA methylation; Gene expression; Gene; Genetics; Histone methyltransferase","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":[0.0005430477,0.000729721,0.0008724382,0.002205679,0.0002718864,0.0006504633,0.0006266931,0.0006726204,0.0048488],"category_scores_gemma":[0.000489598,0.0002716496,0.0005915276,0.001679592,0.0004056732,0.001045544,0.0006149386,0.001769301,0.002279902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004659949,"about_ca_system_score_gemma":0.0007285852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005631965,"about_ca_topic_score_gemma":0.001202636,"domain_scores_codex":[0.999832,0.00002615373,0.00001866535,0.00003766565,0.00006666887,0.00001872765],"domain_scores_gemma":[0.9997635,0.0001095317,0.00003199946,0.00001171761,0.00005740917,0.00002579444],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009806224,0.0001384771,0.0001879965,0.01515498,0.0001020254,0.000262213,0.000071199,0.000591534,0.0100819,0.007139417,0.01778101,0.9483913],"study_design_scores_gemma":[0.0000311205,0.0002351499,0.0008180003,0.001361934,0.0001440853,0.001286813,0.00003715909,0.0001888745,0.003388077,0.002382407,0.9901025,0.0000238115],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003731703,0.9963545,0.0004863798,0.0002806542,0.0002035255,0.000009923633,0.00002944942,0.00001578572,0.002246629],"genre_scores_gemma":[0.00156283,0.997026,0.000386878,0.000157002,0.0001248389,0.000007258475,0.00003975964,0.000002365037,0.0006930572],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.0048488,"threshold_uncertainty_score":0.01622087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1787180327933119,"score_gpt":0.5138313555563935,"score_spread":0.3351133227630816,"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."}}