Bayesian models for pooling microarray studies with multiple sources of replications.

ABSTRACT:

Background

Biologists often conduct multiple but different cDNA microarray studies that all target the same biological system or pathway. Within each study, replicate slides within repeated identical experiments are often produced. Pooling information across studies can help more accurately identify true target genes. Here, we introduce a method to integrate multiple independent studies efficiently.

Results

We introduce a Bayesian hierarchical model to pool cDNA microarray data across multiple independent studies to identify highly expressed genes. Each study has multiple sources of variation, i.e. replicate slides within repeated identical experiments. Our model produces the gene-specific posterior probability of differential expression, which provides a direct method for r

SUBMITTER: Conlon EM 

PROVIDER: S-EPMC1534062 | biostudies-literature | 2006 May

REPOSITORIES: biostudies-literature