Quantitative inference of dynamic regulatory pathways via microarray data.

ABSTRACT:

Background

The cellular signaling pathway (network) is one of the main topics of organismic investigations. The intracellular interactions between genes in a signaling pathway are considered as the foundation of functional genomics. Thus, what genes and how much they influence each other through transcriptional binding or physical interactions are essential problems. Under the synchronous measures of gene expression via a microarray chip, an amount of dynamic information is embedded and remains to be discovered. Using a systematically dynamic modeling approach, we explore the causal relationship among genes in cellular signaling pathways from the system biology approach.

Results

In this study, a second-order dynamic model is developed to describe the regulatory mechanism of

SUBMITTER: Chang WC 

PROVIDER: S-EPMC555938 | biostudies-literature | 2005 Mar

REPOSITORIES: biostudies-literature