Identifying differential expression in multiple SAGE libraries: an overdispersed log-linear model approach.

ABSTRACT:

Background

In testing for differential gene expression involving multiple serial analysis of gene expression (SAGE) libraries, it is critical to account for both between and within library variation. Several methods have been proposed, including the t test, tw test, and an overdispersed logistic regression approach. The merits of these tests, however, have not been fully evaluated. Questions still remain on whether further improvements can be made.

Results

In this article, we introduce an overdispersed log-linear model approach to analyzing SAGE; we evaluate and compare its performance with three other tests: the two-sample t test, tw test and another based on overdispersed logistic linear regression. Analysis of simulated and real datasets show that both the log-linear and

SUBMITTER: Lu J 

PROVIDER: S-EPMC1189357 | biostudies-literature | 2005 Jun

REPOSITORIES: biostudies-literature