{"id":"W4402622603","doi":"10.1016/j.molcel.2024.08.010","title":"Integrated multi-omics analysis of zinc-finger proteins uncovers roles in RNA regulation","year":2024,"lang":"en","type":"article","venue":"Molecular Cell","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Clinical Research Institute","funders":"National Institute of General Medical Sciences; National Human Genome Research Institute; National Institute of Mental Health; National Institute on Aging; Fonds de Recherche du Québec - Santé; University of California, San Diego; Natural Sciences and Engineering Research Council of Canada; National Science Foundation; Canadian Institutes of Health Research; Chan Zuckerberg Initiative; Association for Women in Science; Myotonic Dystrophy Foundation; National Cancer Institute; National Sleep Foundation; National Institutes of Health","keywords":"Biology; Zinc finger; Computational biology; RNA; Omics; RNA-binding protein; Cell biology; Bioinformatics; Genetics; Gene; Transcription factor","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002184987,0.0001185455,0.0001667094,0.000322004,0.00001817065,0.00003261874,0.000130218,0.0001223973,0.0000177171],"category_scores_gemma":[0.0000512346,0.0001106309,0.0001702268,0.0007250985,0.00003927778,0.000004447901,0.00006058417,0.000115762,0.000005111974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000368597,"about_ca_system_score_gemma":0.00009814231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00025339,"about_ca_topic_score_gemma":0.0003298345,"domain_scores_codex":[0.9990403,0.00007586775,0.0002152647,0.0003100645,0.0001565665,0.0002019549],"domain_scores_gemma":[0.9995672,0.000008103469,0.00003971285,0.0002678372,0.00006381426,0.00005336383],"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":[0.00004166925,0.00005219454,0.001361102,0.00003803427,0.0001905306,0.00002647742,0.00004392664,0.008129487,0.9877505,0.00004541036,0.00005019896,0.00227048],"study_design_scores_gemma":[0.0002619975,0.00008113569,0.001101538,0.0000261299,0.00008336356,4.590876e-7,0.0000518446,0.07488167,0.9220023,0.00001714844,0.001374902,0.0001175718],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9653107,0.001213218,0.03255485,0.00004561797,0.00002821527,0.0001922751,0.00002009131,0.00001052778,0.0006245095],"genre_scores_gemma":[0.9965252,0.00007908154,0.001851101,0.00003755666,0.0000126131,0.00001589254,0.0002742757,0.00002041998,0.001183901],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06675218,"threshold_uncertainty_score":0.4511398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008977699710030257,"score_gpt":0.2556660673109381,"score_spread":0.2466883676009078,"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."}}