Adaptive models for gene networks.

TitleAdaptive models for gene networks.
Publication TypeJournal Article
Year of Publication2012
AuthorsY-J Shin, AH Sayed, and X Shen
JournalPloS one
Volume7
Issue2
Start Pagee31657
Date Published01/2012
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.

DOI10.1371/journal.pone.0031657
Short TitlePloS one