{"id":"W2767147736","doi":"10.1038/s41598-017-13930-y","title":"Pattern Discovery in Brain Imaging Genetics via SCCA Modeling with a Generic Non-convex Penalty","year":2017,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sunnybrook Health Science Centre; St Joseph's Health Centre; McGill University; Jewish General Hospital","funders":"National Institute on Aging; National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; Genentech; Fundamental Research Funds for the Central Universities; National Institutes of Health; H. Lundbeck A/S; Natural Science Basic Research Program of Shaanxi Province; Servier; National Natural Science Foundation of China; Eisai; Northwestern Polytechnical University; U.S. National Library of Medicine; IXICO; Novartis Pharmaceuticals Corporation; National Collegiate Athletic Association; Northern California Institute for Research and Education; Biogen; BioClinica; Pfizer; Northwestern University; China Postdoctoral Science Foundation; F. Hoffmann-La Roche; University of Southern California; U.S. Department of Defense; Eli Lilly and Company; Bristol-Myers Squibb; Alzheimer's Disease Neuroimaging Initiative; National Center for Advancing Translational Sciences; Meso Scale Diagnostics; Alzheimer's Association; Foundation for the National Institutes of Health","keywords":"Imaging genetics; Computer science; Computational biology; Regular polygon; Neuroimaging; Artificial intelligence; Bioinformatics; Pattern recognition (psychology); Biology; Neuroscience; Mathematics","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":[0.0005341607,0.0001474475,0.0001303285,0.00008760922,0.0003727351,0.0005266022,0.0002724666,0.00005937285,0.00001031093],"category_scores_gemma":[0.00004040514,0.0001245712,0.00005594995,0.00008615417,0.0001616468,0.00002752559,0.0001732549,0.00007951476,0.000003486493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000236605,"about_ca_system_score_gemma":0.0001983191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007395741,"about_ca_topic_score_gemma":0.000179423,"domain_scores_codex":[0.9982924,0.00002661723,0.0003037561,0.0008293396,0.0002707538,0.0002771419],"domain_scores_gemma":[0.9979877,0.000001976327,0.0003018171,0.001518956,0.0001028139,0.00008671597],"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":[0.00001715457,0.00004009158,0.0650293,0.00001543058,0.000007842395,0.00008084918,0.00007770713,0.002371643,0.918156,8.595468e-7,0.002050621,0.01215251],"study_design_scores_gemma":[0.001146946,0.0000946435,0.0462866,0.0002031202,0.00003073228,0.0004142363,0.000314971,0.1739368,0.7523573,0.0008359843,0.02340885,0.0009697932],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8851237,0.0002581363,0.1122291,0.0003398967,0.001208541,0.0001789372,0.000001538673,0.00000695233,0.000653145],"genre_scores_gemma":[0.9973211,0.0000173135,0.0003761004,0.0001321639,0.0001257555,0.00003692817,0.00007664494,0.00002167429,0.001892341],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1715652,"threshold_uncertainty_score":0.5079867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01408287684713538,"score_gpt":0.2638860142510784,"score_spread":0.249803137403943,"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."}}