Relative power and sample size analysis on gene expression profiling data.

ABSTRACT:

Background

With the increasing number of expression profiling technologies, researchers today are confronted with choosing the technology that has sufficient power with minimal sample size, in order to reduce cost and time. These depend on data variability, partly determined by sample type, preparation and processing. Objective measures that help experimental design, given own pilot data, are thus fundamental.

Results

Relative power and sample size analysis were performed on two distinct data sets. The first set consisted of Affymetrix array data derived from a nutrigenomics experiment in which weak, intermediate and strong PPARalpha agonists were administered to wild-type and PPARalpha-null mice. Our analysis confirms the hierarchy of PPARalpha-activating compounds previous

SUBMITTER: van Iterson M 

PROVIDER: S-EPMC2759969 | biostudies-literature | 2009 Sep

REPOSITORIES: biostudies-literature