{"id":"W4281618698","doi":"10.1038/s41375-022-01602-4","title":"Elucidating the importance and regulation of key enhancers for human MEIS1 expression","year":2022,"lang":"en","type":"article","venue":"Leukemia","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver General Hospital; Canada's Michael Smith Genome Sciences Centre; University of British Columbia; Terry Fox Research Institute","funders":"Canadian Institutes of Health Research; Leukemia and Lymphoma Society of Canada; Michael Smith Health Research BC; Government of Canada; Terry Fox Foundation; Genome British Columbia","keywords":"Transcription factor; Enhancer; Biology; Myeloid leukemia; In silico; Cancer research; Locus (genetics); Transcriptional regulation; Regulation of gene expression; Regulator; Genetics; Gene; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001289186,0.0002000264,0.0001367269,0.0001443777,0.0001166339,0.0002240027,0.000195057,0.0001722206,0.000912057],"category_scores_gemma":[0.0001301709,0.0001183065,0.0001645065,0.00007500149,0.0002006591,0.0001412832,0.0001894161,0.0003486009,0.0003783541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002471365,"about_ca_system_score_gemma":0.0002014245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004351165,"about_ca_topic_score_gemma":0.0006724396,"domain_scores_codex":[0.9999331,0.000007475105,0.000004492535,0.0000252665,0.00001850655,0.00001107968],"domain_scores_gemma":[0.9999442,0.00001905171,0.00001471721,0.000006750809,0.000004717114,0.00001058985],"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":[0.00004201462,0.000005523937,0.000260127,0.0000132421,0.000001078181,0.00001844409,0.00001028712,0.0001204641,0.9981999,0.0001881509,0.00001134259,0.001129371],"study_design_scores_gemma":[0.000004954679,0.00003214267,0.00463851,0.000003597006,0.000004637884,0.0001254232,0.00001501144,0.002140321,0.9906309,0.0001430713,0.002257664,0.00000372203],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9791164,0.001450614,0.01764085,0.0001300142,0.00001491593,0.00002081414,0.0004439765,0.00008765949,0.00109479],"genre_scores_gemma":[0.9880136,0.0006735199,0.008999547,0.00004189577,0.000006566914,0.00001649422,0.000807249,0.00003257386,0.001408582],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000912057,"threshold_uncertainty_score":0.003051162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007532661366015999,"score_gpt":0.2841389395452401,"score_spread":0.2766062781792241,"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."}}