期刊
CURRENT OPINION IN BIOTECHNOLOGY
卷 18, 期 4, 页码 365-370出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.copbio.2007.07.009
关键词
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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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