Adaptive filtering of microarray gene expression data based on Gaussian mixture decomposition.

ABSTRACT:

Background

DNA microarrays are used for discovery of genes expressed differentially between various biological conditions. In microarray experiments the number of analyzed samples is often much lower than the number of genes (probe sets) which leads to many false discoveries. Multiple testing correction methods control the number of false discoveries but decrease the sensitivity of discovering differentially expressed genes. Concerning this problem, filtering methods for improving the power of detection of differentially expressed genes were proposed in earlier papers. These techniques are two-step procedures, where in the first step some pool of non-informative genes is removed and in the second step only the pool of the retained genes is used for searching for differentially expr

SUBMITTER: Marczyk M 

PROVIDER: S-EPMC3637832 | biostudies-literature | 2013 Mar

REPOSITORIES: biostudies-literature