This repository contains the data and analysis for ODE-modeling based
data
contains raw datasetsnotebooks
contains notebooks and externalized Python code for the analysisresults
contains the intermediate and final results of the analysis
A Python environment for running the notebooks can be created with the following command:
conda env create -f environment.yml
The new environment is named murefi_env
and can be activated with conda activate murefi_env
.
After that a Jupyter notebook server can be launched with jupyter notebook
.
The git history of this project was forked from https://github.com/jubiotech/calibr8-paper, but most of the content changed since.
Simone Schito contributed to the creation of calibration and cultivation data.