CARMA: A platform for analyzing microarray datasets that incorporate replicate measures.

ABSTRACT:

Background

The incorporation of statistical models that account for experimental variability provides a necessary framework for the interpretation of microarray data. A robust experimental design coupled with an analysis of variance (ANOVA) incorporating a model that accounts for known sources of experimental variability can significantly improve the determination of differences in gene expression and estimations of their significance.

Results

To realize the full benefits of performing analysis of variance on microarray data we have developed CARMA, a microarray analysis platform that reads data files generated by most microarray image processing software packages, performs ANOVA using a user-defined linear model, and produces easily interpretable graphical and numeric resul

SUBMITTER: Greer KA 

PROVIDER: S-EPMC1450302 | biostudies-literature | 2006 Mar

REPOSITORIES: biostudies-literature