Multi-view singular value decomposition for disease subtyping and genetic associations.

ABSTRACT:

Background

Accurate classification of patients with a complex disease into subtypes has important implications for medicine and healthcare. Using more homogeneous disease subtypes in genetic association analysis will facilitate the detection of new genetic variants that are not detectible using the non-differentiated disease phenotype. Subtype differentiation can also improve diagnostic classification, which can in turn inform clinical decision making and treatment matching. Currently, the most sophisticated methods for disease subtyping perform cluster analysis using patients' clinical features. Without guidance from genetic information, the resultant subtypes are likely to be suboptimal and efforts at genetic association may fail.

Results

We propose a multi-view matrix dec

SUBMITTER: Sun J 

PROVIDER: S-EPMC4077642 | biostudies-literature | 2014 Jun

REPOSITORIES: biostudies-literature