Inferring dynamic architecture of cellular networks
using time series of gene expression, protein and metabolite data.
Sep 13, 2004
Cheng-Wei
Cheng
Abstract
A large number of gene expression data, protein information and metabolite so far can get from lots of public domain resources. However, such information only provides the snapshot of cellular status. It is more important to understand complete cellular behavior. Therefore, authors propose the approach using observed response to perturbations to describe all connections among network nodes. At the same time, they also use previous result to quantify the signal transfer. For this reason, they can simultaneously integrate regulatory with metabolic network. Further, we can realize the dynamic architecture of cellular network.
From：Bioinformatics, Vol 20, Number 12, 1877-1886, March 22, 2004
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