Adaptive models for gene networks |
| |
Authors: | Shin Yong-Jun Sayed Ali H Shen Xiling |
| |
Affiliation: | Electrical and Computer Engineering, Cornell University, Ithaca, New York, United States of America. |
| |
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. |
| |
Keywords: | |
本文献已被 PubMed 等数据库收录! |
|