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 language | English (US) |
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Pages (from-to) | 365-370 |
Number of pages | 6 |
Journal | Current Opinion in Biotechnology |
Volume | 18 |
Issue number | 4 |
DOIs | |
State | Published - Aug 2007 |
Externally published | Yes |
ASJC Scopus subject areas
- Biotechnology
- Bioengineering
- Biomedical Engineering