{"id":"W2061412286","doi":"10.1038/ncomms7186","title":"ZNF143 provides sequence specificity to secure chromatin interactions at gene promoters","year":2015,"lang":"en","type":"article","venue":"Nature Communications","topic":"Genomics and Chromatin Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":230,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Institute for Cancer Research; Université de Montréal; Montreal Clinical Research Institute; Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"National Institute of General Medical Sciences; Canadian Institutes of Health Research; National Institutes of Health; Ontario Institute for Cancer Research; National Cancer Institute; Princess Margaret Cancer Foundation","keywords":"Promoter; Chromatin; ChIA-PET; Bivalent chromatin; Biology; Genetics; Transcription factor; Chromatin remodeling; Gene; Computational biology; Gene expression","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":[0.0002250646,0.000298692,0.0004161198,0.0003187742,0.0003370712,0.0004725967,0.0003580651,0.0005507898,0.001595811],"category_scores_gemma":[0.0004808612,0.0002765141,0.0004528767,0.0001691135,0.0003636237,0.0003219935,0.0005020091,0.0005761528,0.0009392966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002553404,"about_ca_system_score_gemma":0.0002334406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006049685,"about_ca_topic_score_gemma":0.001854129,"domain_scores_codex":[0.999763,0.00001772384,0.00001226742,0.00008001414,0.00008838995,0.00003855649],"domain_scores_gemma":[0.9997993,0.0000543287,0.00005226788,0.00002555592,0.00002605755,0.00004242242],"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":[0.00007878356,0.000007411388,0.001039206,0.00002644663,0.000005774285,0.00006338247,0.0000115938,0.0001096984,0.9954724,0.0001718243,0.00004703345,0.002966367],"study_design_scores_gemma":[0.00002144001,0.0000863647,0.01556132,0.000007302915,0.00001357052,0.0006796998,0.00002330316,0.002308488,0.976107,0.0003289367,0.004850168,0.00001240188],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9520876,0.00163855,0.0424125,0.0002157543,0.00005119568,0.00003631114,0.0004811132,0.000514811,0.002562045],"genre_scores_gemma":[0.9832255,0.000274258,0.01433103,0.00006931829,0.00001244736,0.00001762006,0.0005135784,0.00005220755,0.00150404],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001595811,"threshold_uncertainty_score":0.00533855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03172675265531051,"score_gpt":0.3089104853936311,"score_spread":0.2771837327383206,"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."}}