Published July 3, 2018 | Version v1.1
Software Open

Benchmarking optimization methods for parameter estimation in large kinetic models

  • 1. Consejo Superior de Investigaciones Científicas (CSIC)
  • 2. Institute of Computational Biology, Helmholtz Zentrum München

Description

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

Documentation_supplement.pdf

Files (2.7 GB)

Name Size Download all
md5:0671171a2ba2a48b1041e9c237658605
91.2 kB Preview Download
md5:fa2e1c0c1ece8177fe342d2d91a9bc20
19.5 MB Preview Download
md5:615d59744e1e01a2809039d9533d7d11
2.7 GB Preview Download

Additional details

Funding

CanPathPro – Generation of the CanPath prototype - a platform for predictive cancer pathway modeling 686282
European Commission