Evaluating methods for ranking differentially expressed genes applied to microArray quality control data.

ABSTRACT:

Background

Statistical methods for ranking differentially expressed genes (DEGs) from gene expression data should be evaluated with regard to high sensitivity, specificity, and reproducibility. In our previous studies, we evaluated eight gene ranking methods applied to only Affymetrix GeneChip data. A more general evaluation that also includes other microarray platforms, such as the Agilent or Illumina systems, is desirable for determining which methods are suitable for each platform and which method has better inter-platform reproducibility.

Results

We compared the eight gene ranking methods using the MicroArray Quality Control (MAQC) datasets produced by five manufacturers: Affymetrix, Applied Biosystems, Agilent, GE Healthcare, and Illumina. The area under the curve (AUC)

SUBMITTER: Kadota K 

PROVIDER: S-EPMC3128035 | biostudies-literature | 2011 Jun

REPOSITORIES: biostudies-literature