Software Open Access
Benchmarking optimization methods for parameter estimation in large kinetic models
Villaverde, Alejandro F;
Fröhlich, Fabian;
Weindl, Daniel;
Hasenauer, Jan;
Banga, Julio R.
Software to reproduce the results presented in the paper "Benchmarking optimization methods for parameter estimation in large kinetic models". It includes two MATLAB toolboxes: AMICI and MEIGO, as well as MATLAB code to define the optimizations and to report the results as figures, tables, and summary files.
Files
(2.7 GB)
| Name | Size | |
|---|---|---|
|
Documentation_supplement.pdf
md5:0671171a2ba2a48b1041e9c237658605 |
91.2 kB | Download |
|
Results_supplement.pdf
md5:fa2e1c0c1ece8177fe342d2d91a9bc20 |
19.5 MB | Download |
|
SOFTWARE_SUPPLEMENT.zip
md5:615d59744e1e01a2809039d9533d7d11 |
2.7 GB | Download |
717
942
views
downloads
| All versions | This version | |
|---|---|---|
| Views | 717 | 525 |
| Downloads | 942 | 672 |
| Data volume | 566.0 GB | 526.7 GB |
| Unique views | 646 | 478 |
| Unique downloads | 586 | 433 |
Indexed in
- Publication date:
- July 3, 2018
- DOI:
-
- Keyword(s):
- parameter estimation optimization systems biology dynamic modelling benchmarking MATLAB
- Grants:
-
European Commission:
- CanPathPro - Generation of the CanPath prototype - a platform for predictive cancer pathway modeling (686282)
- License (for files):
- Creative Commons Attribution 4.0 International