Meta-analysis and profiling of cardiac expression modules.

ABSTRACT: Heart failure is a complex, complicated disease that is not yet fully understood. We used the Module Map algorithm to uncover groups of genes that have a similar pattern of expression under various conditions of heart stress. These groups of genes are called modules and may serve as computational predictions of biological pathways for the various clinical situations. The Module Map algorithm allows a large-scale analysis of genes expressed. We applied this algorithm to 700 different mouse experiments downloaded from the Gene Expression Omnibus database, which identified 884 modules. The analysis reconstructed partially known principles that play a role in governing the response of heart to stress, thus demonstrating the strength of the method. We have shown a role of genes related to the i

SUBMITTER: Akavia UD 

PROVIDER: S-EPMC2585021 | biostudies-literature | 2008 Nov

REPOSITORIES: biostudies-literature