Using pre-existing microarray datasets to increase experimental power: application to insulin resistance.

ABSTRACT: Although they have become a widely used experimental technique for identifying differentially expressed (DE) genes, DNA microarrays are notorious for generating noisy data. A common strategy for mitigating the effects of noise is to perform many experimental replicates. This approach is often costly and sometimes impossible given limited resources; thus, analytical methods are needed which increase accuracy at no additional cost. One inexpensive source of microarray replicates comes from prior work: to date, data from hundreds of thousands of microarray experiments are in the public domain. Although these data assay a wide range of conditions, they cannot be used directly to inform any particular experiment and are thus ignored by most DE gene methods. We present the SVD Augmented Gene exp

SUBMITTER: Daigle BJ 

PROVIDER: S-EPMC2845644 | biostudies-literature | 2010 Mar

REPOSITORIES: biostudies-literature