{"id":"W2607528709","doi":"10.1038/srep44272","title":"Mining Outcome-relevant Brain Imaging Genetic Associations via Three-way Sparse Canonical Correlation Analysis in Alzheimer’s Disease","year":2017,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; START Clinic; Jewish General Hospital","funders":"National Institute on Aging; National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; University of California, San Diego; Genentech; National Institutes of Health; H. Lundbeck A/S; Servier; Nanjing University of Aeronautics and Astronautics; National Natural Science Foundation of China; Eisai; U.S. National Library of Medicine; IXICO; Northern California Institute for Research and Education; Pfizer; Biogen; BioClinica; F. Hoffmann-La Roche; University of Southern California; Scheme for Promotion of Academic and Research Collaboration; Novartis Pharmaceuticals Corporation; U.S. Department of Defense; Eli Lilly and Company; Bristol-Myers Squibb; Foundation for the National Institutes of Health; Alzheimer's Disease Neuroimaging Initiative; National Center for Advancing Translational Sciences; Meso Scale Diagnostics; Alzheimer's Association; National Science Foundation","keywords":"Alzheimer's Disease Neuroimaging Initiative; Imaging genetics; Neuroimaging; Canonical correlation; Multivariate statistics; Correlation; Single-nucleotide polymorphism; Computational biology; SNP; Disease; Multivariate analysis; Magnetic resonance imaging; Biology; Bioinformatics; Computer science; Artificial intelligence; Alzheimer's disease; Machine learning; Genetics; Neuroscience; Medicine; Gene; Pathology; Genotype; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003143117,0.0008765311,0.0009751855,0.00140504,0.0004739903,0.0009975344,0.001087244,0.0005609743,0.0006007946],"category_scores_gemma":[0.01036505,0.0003771488,0.001495121,0.001950743,0.0009996883,0.0007626372,0.001011369,0.001015881,0.0001733411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004277772,"about_ca_system_score_gemma":0.001881265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0151161,"about_ca_topic_score_gemma":0.02039272,"domain_scores_codex":[0.998713,0.0007434104,0.00005352428,0.0002693918,0.0001262301,0.00009440485],"domain_scores_gemma":[0.9949456,0.003453306,0.0005795111,0.0004068657,0.0004431696,0.0001716192],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003743988,0.0004212279,0.1783402,0.0003125337,0.001166866,0.001146653,0.0006230156,0.6033583,0.004504425,0.03039986,0.006181142,0.1731715],"study_design_scores_gemma":[0.00001554127,0.00003916099,0.0105222,0.00001449088,0.00007763362,0.0001423262,0.00005455481,0.9722926,0.0003952919,0.01593963,0.0004855621,0.00002106264],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3569876,0.001188721,0.6387758,0.0009378252,0.00004702155,0.0001039893,0.0008002019,0.0003580301,0.0008008157],"genre_scores_gemma":[0.9015552,0.0007667757,0.09527847,0.000137269,0.00006835983,0.0001447261,0.001245751,0.00004365689,0.0007597421],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0151161,"threshold_uncertainty_score":0.03005624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06684577357963327,"score_gpt":0.3189451849859645,"score_spread":0.2520994114063312,"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."}}