{"id":"W2479952736","doi":"10.1093/bioinformatics/btw489","title":"Motif comparison based on similarity of binding affinity profiles","year":2016,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Genomics and Chromatin Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Canadian Institute for Advanced Research; McGill University and Génome Québec Innovation Centre; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Motif (music); Sequence motif; Computational biology; Similarity (geometry); Web server; Computer science; Transcription factor; Biology; Artificial intelligence; Genetics; Gene; The Internet; World Wide Web","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.001401468,0.0007405321,0.00126321,0.006273231,0.0005711226,0.0009951063,0.0008859133,0.0006800944,0.007647751],"category_scores_gemma":[0.0070229,0.0003608144,0.001179552,0.003627446,0.0003215303,0.001170641,0.001268461,0.0008531445,0.002953239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005245213,"about_ca_system_score_gemma":0.0004697469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001356533,"about_ca_topic_score_gemma":0.002524805,"domain_scores_codex":[0.9980597,0.0002917009,0.000224206,0.0006016693,0.0006439671,0.0001788899],"domain_scores_gemma":[0.9967155,0.00134579,0.000535446,0.0004245157,0.0006829324,0.0002958517],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004347286,0.0006140629,0.1593045,0.001955451,0.001531672,0.0005767911,0.0006139274,0.02024147,0.5932043,0.00577973,0.008110967,0.2037199],"study_design_scores_gemma":[0.0002467776,0.001487578,0.2866782,0.000159356,0.0008284138,0.004141688,0.0007039794,0.3852308,0.2727825,0.01895002,0.02840385,0.0003869463],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7437085,0.001309371,0.2287283,0.00009220553,0.0000847956,0.0003285613,0.01359767,0.007040548,0.00511008],"genre_scores_gemma":[0.8172855,0.0003171308,0.1601484,0.00008081135,0.00002876141,0.0003934224,0.019152,0.0007794141,0.001814598],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007647751,"threshold_uncertainty_score":0.02558428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01486414306976094,"score_gpt":0.2435220269961427,"score_spread":0.2286578839263818,"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."}}