Operon information improves gene expression estimation for cDNA microarrays.

ABSTRACT:

Background

In prokaryotic genomes, genes are organized in operons, and the genes within an operon tend to have similar levels of expression. Because of co-transcription of genes within an operon, borrowing information from other genes within the same operon can improve the estimation of relative transcript levels; the estimation of relative levels of transcript abundances is one of the most challenging tasks in experimental genomics due to the high noise level in microarray data. Therefore, techniques that can improve such estimations, and moreover are based on sound biological premises, are expected to benefit the field of microarray data analysis

Results

In this paper, we propose a hierarchical Bayesian model, which relies on borrowing information from other genes within t

SUBMITTER: Xiao G 

PROVIDER: S-EPMC1513396 | biostudies-literature | 2006 Apr

REPOSITORIES: biostudies-literature