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.
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Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3280989 | PMC |
| http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0031657 | PLOS |
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