Shin, Yong-JunSayed, Ali H.Shen, Xiling2017-12-192017-12-192017-12-19201210.1371/journal.pone.0031657https://infoscience.epfl.ch/handle/20.500.14299/143208Biological 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.text::journal::journal article::research article