Identifying pathogenic processes by integrating microarray data with prior knowledge.

ABSTRACT:

Background

It is of great importance to identify molecular processes and pathways that are involved in disease etiology. Although there has been an extensive use of various high-throughput methods for this task, pathogenic pathways are still not completely understood. Often the set of genes or proteins identified as altered in genome-wide screens show a poor overlap with canonical disease pathways. These findings are difficult to interpret, yet crucial in order to improve the understanding of the molecular processes underlying the disease progression. We present a novel method for identifying groups of connected molecules from a set of differentially expressed genes. These groups represent functional modules sharing common cellular function and involve signaling and regulatory even

SUBMITTER: Nygard S 

PROVIDER: S-EPMC4006456 | biostudies-literature | 2014 Apr

REPOSITORIES: biostudies-literature