Evaluating reproducibility of differential expression discoveries in microarray studies by considering correlated molecular changes.

ABSTRACT:

Motivation

According to current consistency metrics such as percentage of overlapping genes (POG), lists of differentially expressed genes (DEGs) detected from different microarray studies for a complex disease are often highly inconsistent. This irreproducibility problem also exists in other high-throughput post-genomic areas such as proteomics and metabolism. A complex disease is often characterized with many coordinated molecular changes, which should be considered when evaluating the reproducibility of discovery lists from different studies.

Results

We proposed metrics percentage of overlapping genes-related (POGR) and normalized POGR (nPOGR) to evaluate the consistency between two DEG lists for a complex disease, considering correlated molecular changes rather than only

SUBMITTER: Zhang M 

PROVIDER: S-EPMC2940240 | biostudies-literature | 2009 Jul

REPOSITORIES: biostudies-literature