Matlab code used to calibrate (and simulate) the partial differential equation model proposed in Almeidaetal2023evolutionary with the experimental data described in the same manuscript, as well as to perform uncertainty quantification via a bootstrapping algorithm.
Public gitlab repository AlmeidaEtAl2023Evolutionary
This repository provides Matlab files to perform model calibration and uncertainty quantification from experimental data and simulations of the partial intergro-differential equation model described in
L. Almeida, J. Denis, N. Ferrand, T. Lorenzi, A. Prunet, M. Sabbah, C. Villa
Evolutionary dynamics of glucose-deprived cancer cells: insights from experimentally-informed mathematical modelling
Submitted for publication (2023) and available on ArXiv
[ArXiv link to come]
For details we refer the interested reader to this publication and its supplementary material.
If you use this software in your work then please cite the above named paper.
Copyright notice
AlmeidaEtAl2022Evolutionary: calibrate phenotype-structured equation models with experimental data
Copyright (C) 2023 C. Villa
This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with this program. If not, see https://www.gnu.org/licenses/.