Reconstructing regulatory networks from the dynamic plasticity of gene expression by mutual information.

ABSTRACT: The capacity of an organism to respond to its environment is facilitated by the environmentally induced alteration of gene and protein expression, i.e. expression plasticity. The reconstruction of gene regulatory networks based on expression plasticity can gain not only new insights into the causality of transcriptional and cellular processes but also the complex regulatory mechanisms that underlie biological function and adaptation. We describe an approach for network inference by integrating expression plasticity into Shannon's mutual information. Beyond Pearson correlation, mutual information can capture non-linear dependencies and topology sparseness. The approach measures the network of dependencies of genes expressed in different environments, allowing the environment-induced plastic

SUBMITTER: Wang J 

PROVIDER: S-EPMC3632132 | biostudies-literature | 2013 Apr

REPOSITORIES: biostudies-literature