Multiview comodeling to improve subtyping and genetic association of complex diseases.

ABSTRACT: Genetic association analysis of complex diseases has been limited by heterogeneity in their clinical manifestations and genetic etiology. Research has made it possible to differentiate homogeneous subtypes of the disease phenotype. Currently, the most sophisticated subtyping methods perform unsupervised cluster analysis using only clinical features of a disorder, resulting in subtypes for which genetic association may be limited. In this study, we seek to derive a novel multiview data analytic method that integrates two views of the data: the clinical features and the genetic markers of the same set of patients. Our method is based on multiobjective programming that is capable of clinically categorizing a disease phenotype so as to discover genetically different subtypes.We optimize two ob

SUBMITTER: Sun J 

PROVIDER: S-EPMC4158610 | biostudies-literature | 2014 Mar

REPOSITORIES: biostudies-literature