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ABSTRACT: Background
Analyses of gene expression data from microarray experiments has become a central tool for identifying co-regulated, functional gene modules. A crucial aspect of such analysis is the integration of data from different experiments and different laboratories. How to weigh the contribution of different experiments is an important point influencing the final outcomes. We have developed a novel method for this integration, and applied it to genome-wide data from multiple Arabidopsis microarray experiments performed under a variety of experimental conditions. The goal of this study is to identify functional globally co-regulated gene modules in the Arabidopsis genome.Results
Following the analysis of 21,000 Arabidopsis genes in 43 datasets and about 2 x 10(8) gene pair
SUBMITTER: Atias O
PROVIDER: S-EPMC2944327 | biostudies-literature | 2009 Sep
REPOSITORIES: biostudies-literature