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Identification of disease-associated loci using machine learning for genotype and network data integration.
Leal, Luis G; David, Alessia; Jarvelin, Marjo-Riita; Sebert, Sylvain; Männikkö, Minna; Karhunen, Ville; Seaby, Eleanor; Hoggart, Clive; Sternberg, Michael J E.
Affiliation
  • Leal LG; Department of Life Sciences, Centre for Integrative Systems Biology and Bioinformatics, Imperial College London, London SW7 2AZ, UK.
  • David A; Department of Life Sciences, Centre for Integrative Systems Biology and Bioinformatics, Imperial College London, London SW7 2AZ, UK.
  • Jarvelin MR; Center for Life Course Health Research, Faculty of Medicine, University of Oulu, Oulu FI-90014, Finland.
  • Sebert S; Biocenter Oulu, University of Oulu, Oulu 90220, Finland.
  • Männikkö M; Unit of Primary Health Care, Oulu University Hospital, Oulu 90220, Finland.
  • Karhunen V; Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London W2 1PG, UK.
  • Seaby E; Department of Life Sciences, College of Health and Life Sciences, Brunel University London, Middlesex UB8 3PH, UK.
  • Hoggart C; Center for Life Course Health Research, Faculty of Medicine, University of Oulu, Oulu FI-90014, Finland.
  • Sternberg MJE; Biocenter Oulu, University of Oulu, Oulu 90220, Finland.
Bioinformatics ; 35(24): 5182-5190, 2019 12 15.
Article in En | MEDLINE | ID: mdl-31070705
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Genome-Wide Association Study / Machine Learning Type of study: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2019 Document type: Article Affiliation country: United kingdom
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Genome-Wide Association Study / Machine Learning Type of study: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2019 Document type: Article Affiliation country: United kingdom