Differential variability analysis of gene expression and its application to human diseases.

ABSTRACT:

Motivation

Current microarray analyses focus on identifying sets of genes that are differentially expressed (DE) or differentially coexpressed (DC) in different biological states (e.g. diseased versus non-diseased). We observed that in many human diseases, some genes have a significant increase or decrease in expression variability (variance). As these observed changes in expression variability may be caused by alteration of the underlying expression dynamics, such differential variability (DV) patterns are also biologically interesting.

Results

Here we propose a novel analysis for changes in gene expression variability between groups of samples, which we call differential variability analysis. We introduce the concept of differential variability (DV), and present a simple p

SUBMITTER: Ho JW 

PROVIDER: S-EPMC2718620 | biostudies-literature | 2008 Jul

REPOSITORIES: biostudies-literature