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Biochemical and statistical network models for systems biology

Paper ID Volume ID Publish Year Pages File Format Full-Text
16155 42487 2007 6 PDF Available
Title
Biochemical and statistical network models for systems biology
Abstract

The normal and abnormal behavior of a living cell is governed by complex networks of interacting biomolecules. Models of these networks allow us to make predictions about cellular behavior under a variety of environmental cues. In this review, we focus on two broad classes of such models: biochemical network models and statistical inference models. In particular, we discuss a number of modeling approaches in the context of the assumptions that they entail, the types of data required for their inference, and the range of their applicability.

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Biochemical and statistical network models for systems biology
Publisher
Database: Elsevier - ScienceDirect
Journal: Current Opinion in Biotechnology - Volume 18, Issue 4, August 2007, Pages 365–370
Authors
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Subjects
Physical Sciences and Engineering Chemical Engineering Bioengineering