Skip to content

ICB-DCM/optimizer-benchmark-2026-suppl-code-and-data

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

13 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

DOI

README

This is the supplementary code and data for the paper Large-scale analysis of optimisation methods for parameter estimation problems in the life sciences by Stephan Grein, David R. Penas, Daniel Weindl, Polina Lakrisenko, Julio R. Banga, and Jan Hasenauer.

Data generation

Information about the optimization runs is provided in the optimizations/ directory.

Data

Due to the large size of the raw data, we only provide summarized data that is sufficient to reproduce the figures in the paper. These data are available in the data/ directory.

Data analysis scripts

Scripts for generating the figures in the paper are available in the data_analysis/ directory.

Reproducing the analysis

The analysis environment is managed with uv. To reproduce all figures and tables, run:

cd data_analysis
./run_all.sh

This installs the pinned Python environment (uv sync --frozen) and then runs every notebook and script in the directory, in dependency order, writing the generated figures and tables to data_analysis/out/.

License

Code is licensed under the BSD 3-Clause License (see LICENSE), and data is licensed under CC-BY-4.0 (see LICENSE-DATA).

About

Supplementary code and data for the 2026 optimizer benchmarking manuscript

Resources

License

Unknown, Unknown licenses found

Licenses found

Unknown
LICENSE
Unknown
LICENSE-DATA

Stars

0 stars

Watchers

0 watching

Forks

Packages

 
 
 

Contributors