Fold change rank ordering statistics: a new method for detecting differentially expressed genes.

ABSTRACT:

Background

Different methods have been proposed for analyzing differentially expressed (DE) genes in microarray data. Methods based on statistical tests that incorporate expression level variability are used more commonly than those based on fold change (FC). However, FC based results are more reproducible and biologically relevant.

Results

We propose a new method based on fold change rank ordering statistics (FCROS). We exploit the variation in calculated FC levels using combinatorial pairs of biological conditions in the datasets. A statistic is associated with the ranks of the FC values for each gene, and the resulting probability is used to identify the DE genes within an error level. The FCROS method is deterministic, requires a low computational runtime and also solves

SUBMITTER: Dembele D 

PROVIDER: S-EPMC3899927 | biostudies-literature | 2014 Jan

REPOSITORIES: biostudies-literature