Assessing and selecting gene expression signals based upon the quality of the measured dynamics.

ABSTRACT:

Background

One of the challenges with modeling the temporal progression of biological signals is dealing with the effect of noise and the limited number of replicates at each time point. Given the rising interest in utilizing predictive mathematical models to describe the biological response of an organism or analysis such as clustering and gene ontology enrichment, it is important to determine whether the dynamic progression of the data has been accurately captured despite the limited number of replicates, such that one can have confidence that the results of the analysis are capturing important salient dynamic features.

Results

By pre-selecting genes based upon quality before the identification of differential expression via algorithm such as EDGE, it was found that the pe

SUBMITTER: Yang E 

PROVIDER: S-EPMC2653486 | biostudies-literature | 2009 Feb

REPOSITORIES: biostudies-literature