{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005324624,0.0007039158,0.000472934,0.0009536835,0.0002320174,0.000475097,0.0005750805,0.0004268875,0.002492958],"category_scores_gemma":[0.0003225924,0.0003665066,0.0003964463,0.0003519701,0.0002669223,0.0003081456,0.0008044197,0.0007666631,0.0007465435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003944229,"about_ca_system_score_gemma":0.0003041455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004501673,"about_ca_topic_score_gemma":0.001779399,"domain_scores_codex":[0.9996131,0.00005698589,0.00003659465,0.00008898308,0.0001568776,0.00004755351],"domain_scores_gemma":[0.9997218,0.00007325875,0.00007508363,0.00004714962,0.0000345773,0.00004812772],"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":[0.00004941603,0.00003217075,0.000307713,0.00006404742,0.00002435458,0.00006308886,0.00001270694,0.0003310441,0.9929041,0.000258085,0.0002010785,0.005752173],"study_design_scores_gemma":[0.00001934955,0.0002406659,0.002562273,0.000009523141,0.0000367487,0.0005813335,0.00001535832,0.003820741,0.9851848,0.0001218724,0.007390308,0.00001696479],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.638675,0.004456107,0.3263562,0.0004615973,0.0001585706,0.001089011,0.009859075,0.006286631,0.01265775],"genre_scores_gemma":[0.8266342,0.002903475,0.1456292,0.0003755307,0.00002192164,0.0006738473,0.008391273,0.0005378767,0.0148327],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002492958,"threshold_uncertainty_score":0.008339822,"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."}}