Inferring phenotypes from substance use via collaborative matrix completion

Background Although substance use disorders (SUDs) are heritable, few genetic risk factors for them have been identified, in part due to the small sample sizes of study populations. To address this limitation, researchers have aggregated subjects from multiple existing genetic studies, but these sub...

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Veröffentlicht in:	BMC systems biology Jg. 12; H. Suppl 6; S. 104
Hauptverfasser:	Lu, Jin, Sun, Jiangwen, Wang, Xinyu, Kranzler, Henry, Gelernter, Joel, Bi, Jinbo
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London BioMed Central 22.11.2018 BioMed Central Ltd
Schlagworte:	Addictions Algorithms Artificial intelligence Bioinformatics Biomedical and Life Sciences Cellular and Medical Topics Cocaine Collaboration Comorbidity Computational Biology/Bioinformatics Convex analysis Criteria Diagnostic systems Disorders Drug abuse Genetic aspects Genetic research Genomes Genotype & phenotype Genotypes Health risk assessment Information processing International conferences Life Sciences Mathematical models Mental disorders Methods Narcotics Nervous system Neurosciences Opioids Patients Phenotype Phenotypes Physiological Population studies Publishing Recommender systems Risk analysis Risk factors Simulation and Modeling Statistical methods Statistical models Studies Substance abuse Substance use Systems Biology Substance use disorder Parallel computing Addiction Phenotype imputation Matrix completion
ISSN:	1752-0509, 1752-0509
Online-Zugang:	Volltext
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