Parameter estimation and model selection in computational biology.
A central challenge in computational modeling of biological systems is the determination of the model parameters. Typically, only a fraction of the parameters (such as kinetic rate constants) are experimentally measured, while the rest are often fitted. The fitting process is usually based on experi...
Main Authors: | Gabriele Lillacci, Mustafa Khammash |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2010-03-01
|
Series: | PLoS Computational Biology |
Online Access: | http://europepmc.org/articles/PMC2832681?pdf=render |
Similar Items
-
An improved swarm optimization for parameter estimation and biological model selection.
by: Afnizanfaizal Abdullah, et al.
Published: (2013-01-01) -
An improved swarm optimization for parameter estimation and biological model selection
by: Abdullah, Afnizanfaizal, et al.
Published: (2013) -
Correction: An Improved Swarm Optimization for Parameter Estimation and Biological Model Selection
by: Afnizanfaizal Abdullah, et al.
Published: (2013-01-01) -
Correction: An Improved Swarm Optimization for Parameter Estimation and Biological Model Selection.
by: Afnizanfaizal Abdullah, et al.
Published: (2013-01-01) -
Optimal experiment selection for parameter estimation in biological differential equation models
by: Transtrum Mark K, et al.
Published: (2012-07-01)