Qualitative reasoning of dynamic gene regulatory interactions from gene expression data.

ABSTRACT:

Background

A gene regulatory relation often changes over time rather than being constant. But many gene regulatory networks available in databases or literatures are static in the sense that they are either snapshots of gene regulatory relations at a time point or union of successive gene regulations over time. Such static networks cannot represent temporal aspects of gene regulatory interactions such as the order of gene regulations or the pace of gene regulations.

Results

We developed a new qualitative method for representing dynamic gene regulatory relations and algorithms for identifying dynamic gene regulations from the time-series gene expression data using two types of scores. The identified gene regulatory interactions and their temporal properties are visualized as

SUBMITTER: Chen Y 

PROVIDER: S-EPMC3005929 | biostudies-literature | 2010 Dec

REPOSITORIES: biostudies-literature