A comparative study of discriminating human heart failure etiology using gene expression profiles.

ABSTRACT:

Background

Human heart failure is a complex disease that manifests from multiple genetic and environmental factors. Although ischemic and non-ischemic heart disease present clinically with many similar decreases in ventricular function, emerging work suggests that they are distinct diseases with different responses to therapy. The ability to distinguish between ischemic and non-ischemic heart failure may be essential to guide appropriate therapy and determine prognosis for successful treatment. In this paper we consider discriminating the etiologies of heart failure using gene expression libraries from two separate institutions.

Results

We apply five new statistical methods, including partial least squares, penalized partial least squares, LASSO, nearest shrunken centroids a

SUBMITTER: Huang X 

PROVIDER: S-EPMC1224853 | biostudies-literature | 2005 Aug

REPOSITORIES: biostudies-literature