Importance of replication in analyzing time-series gene expression data: corticosteroid dynamics and circadian patterns in rat liver.

ABSTRACT:

Background

Microarray technology is a powerful and widely accepted experimental technique in molecular biology that allows studying genome wide transcriptional responses. However, experimental data usually contain potential sources of uncertainty and thus many experiments are now designed with repeated measurements to better assess such inherent variability. Many computational methods have been proposed to account for the variability in replicates. As yet, there is no model to output expression profiles accounting for replicate information so that a variety of computational models that take the expression profiles as the input data can explore this information without any modification.

Results

We propose a methodology which integrates replicate variability into expression pr

SUBMITTER: Nguyen TT 

PROVIDER: S-EPMC2889936 | biostudies-literature | 2010 May

REPOSITORIES: biostudies-literature