{"id":"W2584485311","doi":"10.1016/j.molcel.2017.01.011","title":"Multilayered Control of Alternative Splicing Regulatory Networks by Transcription Factors","year":2017,"lang":"en","type":"article","venue":"Molecular Cell","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":201,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital; University of Toronto","funders":"Canadian Institutes of Health Research; Stem Cell Network","keywords":"Biology; RNA splicing; Alternative splicing; Transcription factor; Zinc finger; RNA-binding protein; Computational biology; SR protein; Cell biology; Genetics; Gene; RNA; Messenger RNA","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":[0.0006262079,0.000300649,0.0004804696,0.0004764292,0.000449469,0.001804835,0.0005648631,0.0004372323,0.001225108],"category_scores_gemma":[0.0008302353,0.000543285,0.0004433374,0.0003825648,0.0008427575,0.002134271,0.001032327,0.0007784601,0.0005769097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007273784,"about_ca_system_score_gemma":0.0003088467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004519243,"about_ca_topic_score_gemma":0.0009382497,"domain_scores_codex":[0.9994847,0.00007427949,0.0000314563,0.0001682042,0.000151993,0.00008932115],"domain_scores_gemma":[0.999271,0.0002356458,0.0001227766,0.0001672288,0.00009538255,0.000107867],"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":[0.0001188495,0.00001875673,0.001580424,0.00005420766,0.00002775138,0.00009867011,0.000160098,0.003864623,0.9675126,0.01319635,0.0001902426,0.01317742],"study_design_scores_gemma":[0.00008531052,0.0002720954,0.05380955,0.00009161101,0.0001440625,0.0007089518,0.0004714331,0.1246917,0.7012797,0.09726602,0.02101908,0.0001604712],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9067764,0.005264134,0.07774949,0.00081093,0.0001220949,0.00001957289,0.0002054177,0.0006532199,0.008398684],"genre_scores_gemma":[0.9865978,0.001351106,0.009447314,0.00009128557,0.00007580264,0.00002305355,0.0001486705,0.00007399803,0.002190985],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001804835,"threshold_uncertainty_score":0.005277574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009447882491405053,"score_gpt":0.2478527671965109,"score_spread":0.2384048847051059,"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."}}