Reconstructing dynamic gene regulatory networks from sample-based transcriptional data.

ABSTRACT: The current method for reconstructing gene regulatory networks faces a dilemma concerning the study of bio-medical problems. On the one hand, static approaches assume that genes are expressed in a steady state and thus cannot exploit and describe the dynamic patterns of an evolving process. On the other hand, approaches that can describe the dynamical behaviours require time-course data, which are normally not available in many bio-medical studies. To overcome the limitations of both the static and dynamic approaches, we propose a dynamic cascaded method (DCM) to reconstruct dynamic gene networks from sample-based transcriptional data. Our method is based on the intra-stage steady-rate assumption and the continuity assumption, which can properly characterize the dynamic and continuous natu

SUBMITTER: Zhu H 

PROVIDER: S-EPMC3510506 | biostudies-literature | 2012 Nov

REPOSITORIES: biostudies-literature