Adaptive Models for Gene Networks

Yong-Jun Shin, Ali H Sayed and Xiling Shen

PLOS ONE, 2012, vol. 7, issue 2, 1-6

Abstract: Biological systems are often treated as time-invariant by computational models that use fixed parameter values. In this study, we demonstrate that the behavior of the p53-MDM2 gene network in individual cells can be tracked using adaptive filtering algorithms and the resulting time-variant models can approximate experimental measurements more accurately than time-invariant models. Adaptive models with time-variant parameters can help reduce modeling complexity and can more realistically represent biological systems.

Date: 2012
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0031657

DOI: 10.1371/journal.pone.0031657

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