Adaptive models for gene networks.

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.

SUBMITTER: Shin YJ 

PROVIDER: S-EPMC3280989 | biostudies-literature | 2012

REPOSITORIES: biostudies-literature