MATLAB Scripts for parameter estimation "Towards in vivo estimation of reaction kinetics using high-throughput metabolomics data: a maximum likelihood approach"
Abstract/Contents
- Abstract
- This set of MATLAB scripts serves as supplementary material for the paper titled "Towards in vivo estimation of reaction kinetics using high-throughput metabolomics data: a maximum likelihood approach" by W. Zhang, R. Kolte, and D. Dill. The instructions on how to run the scripts are in the readme.txt file. These scripts demonstrate an example on how to implement the method discussed in the paper of estimating kinetic parameters of multiple reactants/products reversible enzymatic reactions using maximum likelihood on data with relative errors.
Description
| Type of resource | software, multimedia |
|---|---|
| Date created | November 2014 |
Creators/Contributors
| Author | Zhang, Weiruo |
|---|
Subjects
| Subject | scripts |
|---|---|
| Subject | maximum likelihood estimation on relative errors |
| Subject | multiple reactants/products reversible enzymatic reactions |
| Subject | Department of Electrical Engineering |
| Subject | Stanford University |
Bibliographic information
| Related Publication |
Zhang, Weiruo, Ritesh Kolte, and David L. Dill. "Towards in vivo estimation of reaction kinetics using high-throughput metabolomics data: a maximum likelihood approach." BMC systems biology 9.1 (2015): 1.
|
|---|---|
| Location | https://purl.stanford.edu/bg158sn4020 |
Access conditions
- Use and reproduction
- User agrees that, where applicable, content will not be used to identify or to otherwise infringe the privacy or confidentiality rights of individuals. Content distributed via the Stanford Digital Repository may be subject to additional license and use restrictions applied by the depositor.
- License
- This work is licensed under a Creative Commons Attribution Non Commercial Share Alike 3.0 Unported license (CC BY-NC-SA).
Preferred citation
- Preferred Citation
Weiruo Zhang. (2014). MATLAB Scripts for parameter estimation "Towards in vivo estimation of reaction
kinetics using high-throughput metabolomics data: a maximum likelihood approach". Stanford Digital Repository. Available at: http://purl.stanford.edu/bg158sn4020
Collection
Stanford Research Data
View other items in this collection in SearchWorksContact information
- Contact
- weiruo16@stanford.edu
Also listed in
Loading usage metrics...