Biochemical and statistical network models for systems biology

Nathan D. Price, Ilya Shmulevich

Research output: Contribution to journalReview articlepeer-review

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.

Original languageEnglish (US)
Pages (from-to)365-370
Number of pages6
JournalCurrent Opinion in Biotechnology
Volume18
Issue number4
DOIs
StatePublished - Aug 2007
Externally publishedYes

ASJC Scopus subject areas

  • Biotechnology
  • Bioengineering
  • Biomedical Engineering

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