{"id":"W3184117872","doi":"10.1038/s41598-021-94048-0","title":"Correlation between Alzheimer’s disease and type 2 diabetes using non-negative matrix factorization","year":2021,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"St Joseph's Health Care; 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; University of California, San Diego; Genentech; Rosetrees Trust; National Institutes of Health; U.S. National Library of Medicine; IXICO; Servier; Eisai; Korea Health Industry Development Institute; Northern California Institute for Research and Education; Novartis Pharmaceuticals Corporation; Ministry of Science and ICT, South Korea; Biogen; BioClinica; F. Hoffmann-La Roche; Synarc; University of Southern California; Medpace; U.S. Department of Defense; Eli Lilly and Company; Bristol-Myers Squibb; Alzheimer's Disease Neuroimaging Initiative; Pennsylvania Department of Health; Meso Scale Diagnostics; Alzheimer's Association; Foundation for the National Institutes of Health","keywords":"Non-negative matrix factorization; Type 2 diabetes; Disease; Candidate gene; Gene; Logistic regression; Correlation; Genetics; Alzheimer's disease; Biology; Diabetes mellitus; Computational biology; Medicine; Matrix decomposition; Internal medicine; Mathematics; Endocrinology","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":[0.001688623,0.0008884993,0.0008128351,0.001690878,0.0004311818,0.0006421914,0.0004726548,0.0005602046,0.0009591687],"category_scores_gemma":[0.005170997,0.0002133059,0.001657179,0.001454507,0.000365065,0.0004674263,0.0003942385,0.0008257806,0.0002980039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005770331,"about_ca_system_score_gemma":0.0008930461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01162761,"about_ca_topic_score_gemma":0.009700581,"domain_scores_codex":[0.9989225,0.0003148488,0.00007592011,0.0003694591,0.000210929,0.0001064383],"domain_scores_gemma":[0.9979149,0.001206706,0.0003726668,0.0001184093,0.000295784,0.00009154245],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002385282,0.001076089,0.2417491,0.0007986601,0.001955787,0.001566575,0.0005991388,0.2545281,0.02959502,0.005899363,0.01996786,0.439879],"study_design_scores_gemma":[0.00005704624,0.0002129989,0.05354338,0.00003251798,0.0001145113,0.0003216472,0.00009196279,0.9358453,0.001141174,0.006237417,0.00234235,0.00005979147],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.458442,0.003927087,0.5290129,0.001067246,0.0002416051,0.0003712776,0.004463737,0.001108798,0.001365457],"genre_scores_gemma":[0.8268942,0.0007557814,0.1657457,0.0001230394,0.0001525902,0.0002711286,0.005289228,0.00004402877,0.0007243102],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01162761,"threshold_uncertainty_score":0.02311987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01586475594139731,"score_gpt":0.262036383328833,"score_spread":0.2461716273874357,"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."}}