{"id":"W4283661328","doi":"10.1016/j.cbi.2022.110032","title":"A gene expression biomarker identifies inhibitors of two classes of epigenome effectors in a human microarray compendium","year":2022,"lang":"en","type":"article","venue":"Chemico-Biological Interactions","topic":"Protein Degradation and Inhibitors","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa; Health Canada","funders":"Health Canada; Environmental Protection Agency; U.S. Environmental Protection Agency","keywords":"Epigenome; Biomarker; Biology; Toxicogenomics; Computational biology; Epigenetics; Effector; Panobinostat; Histone deacetylase; In silico; Histone deacetylase inhibitor; Histone; Genetics; Gene; Gene expression; DNA methylation; Cell biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002129539,0.0001580271,0.0002528142,0.0001447903,0.0001167587,0.000008886257,0.0002511762,0.00008563647,0.0004356425],"category_scores_gemma":[0.0001119642,0.0001401415,0.0001772108,0.0002028445,0.0001817361,0.000009651163,0.0003525388,0.000201806,0.000002261253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005107782,"about_ca_system_score_gemma":0.00002721783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006669489,"about_ca_topic_score_gemma":0.00001748344,"domain_scores_codex":[0.9986742,0.0001749544,0.000509388,0.0003444539,0.000113434,0.0001836037],"domain_scores_gemma":[0.9992781,0.00005657866,0.0002809334,0.0002714957,0.00006302731,0.00004991491],"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":[0.00009327316,0.0003216814,0.00948923,0.00001725136,0.00002757979,0.000001703787,0.0000594876,0.00002492524,0.9884377,0.00002444673,0.001418683,0.00008409335],"study_design_scores_gemma":[0.0005013554,0.0001934484,0.002507849,0.00002715441,0.000006779544,0.00001079263,0.0002632309,0.000005125801,0.990704,0.00007702755,0.005556776,0.0001464386],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998263,0.0003420564,0.00008918458,0.00005201373,0.0003227318,0.000251702,0.00008297274,0.00001354185,0.0005827741],"genre_scores_gemma":[0.9986687,0.00003130595,0.0002380142,0.00004148441,0.00006943641,0.0001243312,0.0005558626,0.00001246396,0.0002583732],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00698138,"threshold_uncertainty_score":0.5714805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02740748573993309,"score_gpt":0.3098483853163186,"score_spread":0.2824408995763855,"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."}}