{"id":"W2514448720","doi":"10.1038/ng.3646","title":"Lineage-specific and single-cell chromatin accessibility charts human hematopoiesis and leukemia evolution","year":2016,"lang":"en","type":"article","venue":"Nature Genetics","topic":"Acute Myeloid Leukemia Research","field":"Medicine","cited_by":1292,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network","funders":"U.S. National Library of Medicine; National Cancer Institute; National Institute of Arthritis and Musculoskeletal and Skin Diseases; National Human Genome Research Institute; Howard Hughes Medical Institute","keywords":"Biology; Chromatin; Haematopoiesis; Stem cell; Lineage (genetic); Genetics; Hematopoietic stem cell; Leukemia; Computational biology; Enhancer; Myeloid; Epigenomics; Cancer research; Gene; Transcription factor; DNA methylation; 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":[0.0003702187,0.00006241333,0.0002017015,0.0007576108,0.0001896075,0.0005712771,0.0002184713,0.000199322,0.001870464],"category_scores_gemma":[0.000810173,0.0001781965,0.0001319907,0.0006695578,0.0002864911,0.0003804085,0.0003451732,0.0002584037,0.0002464776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003316487,"about_ca_system_score_gemma":0.0001283821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001641558,"about_ca_topic_score_gemma":0.004460124,"domain_scores_codex":[0.999859,0.00002635399,0.000007886557,0.00005180624,0.00003054438,0.00002449614],"domain_scores_gemma":[0.9995702,0.0001805522,0.00007352149,0.00006385886,0.0000671807,0.00004471163],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002444119,0.00001485323,0.1608648,0.00006442728,0.00006829067,0.0001046583,0.001044152,0.001579565,0.7937467,0.00342087,0.000212529,0.0386347],"study_design_scores_gemma":[0.000006193281,0.00007500251,0.9349557,0.00001206479,0.00003793465,0.000541618,0.0004456019,0.003492718,0.05369761,0.001978553,0.004737467,0.0000194637],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995484,0.0007926791,0.001948775,0.00003177587,0.00000323944,0.000004421717,0.0003967145,0.00001970942,0.001318693],"genre_scores_gemma":[0.9980124,0.0003266043,0.0006225863,0.00001647393,0.000003850401,0.000003569505,0.000267207,0.00001708336,0.000730216],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001870464,"threshold_uncertainty_score":0.006257296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02055692789550373,"score_gpt":0.2904839785553225,"score_spread":0.2699270506598188,"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."}}