Detecting phenotype-specific interactions between biological processes from microarray data and annotations.

ABSTRACT: High throughput technologies enable researchers to measure expression levels on a genomic scale. However, the correct and efficient biological interpretation of such voluminous data remains a challenging problem. Many tools have been developed for the analysis of GO terms that are over- or under-represented in a list of differentially expressed genes. However, a previously unexplored aspect is the identification of changes in the way various biological processes interact in a given condition with respect to a reference. Here, we present a novel approach that aims at identifying such interactions between biological processes that are significantly different in a given phenotype with respect to normal. The proposed technique uses vector-space representation, SVD-based dimensionality reductio

SUBMITTER: Ansari NA 

PROVIDER: S-EPMC3748606 | biostudies-literature | 2012 Sep-Oct

REPOSITORIES: biostudies-literature