{"id":"W4291825011","doi":"10.1038/s41419-022-05146-4","title":"EPIKOL, a chromatin-focused CRISPR/Cas9-based screening platform, to identify cancer-specific epigenetic vulnerabilities","year":2022,"lang":"en","type":"article","venue":"Cell Death and Disease","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Medical Research Council; Koç Üniversitesi Translasyonel Tıp Araştırma Merkezi; Türkiye Bilimsel ve Teknolojik Araştırma Kurumu","keywords":"Epigenetics; Epigenome; Biology; CRISPR; Chromatin; Cancer; Triple-negative breast cancer; Computational biology; Cancer cell; Cancer research; Genetics; DNA methylation; Gene; Breast cancer; Gene expression","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001348147,0.0002171846,0.0001602604,0.00008279739,0.0003336896,0.00006031232,0.0001874586,0.00004138132,0.0002419346],"category_scores_gemma":[0.00004292234,0.0002369898,0.0001044382,0.0001136149,0.00003493556,0.000004360828,0.0002015987,0.0001056144,0.000005300579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002648326,"about_ca_system_score_gemma":0.0001265418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005846797,"about_ca_topic_score_gemma":0.00001056534,"domain_scores_codex":[0.9986843,0.00004474053,0.000214068,0.0004846002,0.0002057662,0.0003665292],"domain_scores_gemma":[0.9989223,0.00002321531,0.00004124652,0.0003898438,0.00003647278,0.0005868801],"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":[0.001151754,0.0003867567,0.03045363,0.0005639981,0.00007822587,0.0001116895,0.0005900188,0.1605841,0.7696326,0.0001025847,0.01519478,0.02114983],"study_design_scores_gemma":[0.006224689,0.001288853,0.1472753,0.0001131209,0.0002836692,0.00001688369,0.001596192,0.01449047,0.5720614,0.0005668888,0.2534886,0.002593903],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9505894,0.01306719,0.03515538,0.0001747033,0.0002040877,0.0003489133,0.0002576487,0.00003381352,0.0001688465],"genre_scores_gemma":[0.9968385,0.0001620406,0.001397883,0.0004897118,0.0001752418,0.0003094275,0.0001897443,0.00003926856,0.000398261],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2382938,"threshold_uncertainty_score":0.9664164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01869368649637189,"score_gpt":0.3031327505371602,"score_spread":0.2844390640407883,"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."}}