Meta-analysis of gene expression microarrays with missing replicates.

ABSTRACT:

Background

Many different microarray experiments are publicly available today. It is natural to ask whether different experiments for the same phenotypic conditions can be combined using meta-analysis, in order to increase the overall sample size. However, some genes are not measured in all experiments, hence they cannot be included or their statistical significance cannot be appropriately estimated in traditional meta-analysis. Nonetheless, these genes, which we refer to as incomplete genes, may also be informative and useful.

Results

We propose a meta-analysis framework, called "Incomplete Gene Meta-analysis", which can include incomplete genes by imputing the significance of missing replicates, and computing a meta-score for every gene across all datasets. We demonstrate

SUBMITTER: Shi F 

PROVIDER: S-EPMC3224118 | biostudies-literature | 2011 Mar

REPOSITORIES: biostudies-literature