Repository of the paper :

Application of machine learning tools to study the synergistic impact of physicochemical properties of peptides and filtration membranes on peptide migration during electrodialysis with filtration membranes.

If you use this code, cite our paper :

Zain Sanchez-Reinoso, Mathieu Bazinet, Benjamin Leblanc, Jean-Pierre Clément, Pascal Germain, Laurent Bazinet,
Application of machine learning tools to study the synergistic impact of physicochemical properties of peptides and filtration membranes on peptide migration during electrodialysis with filtration membranes,
Separation and Purification Technology, 2024, 130877, ISSN 1383-5866, https://doi.org/10.1016/j.seppur.2024.130877. (https://www.sciencedirect.com/science/article/pii/S1383586624046161)

How do you use the code

The correlation_matrix.ipynb notebook is used to create the correlation matrices.
The decision_trees.ipynb notebook is used to generate the decision trees.
The heatmaps.ipynb notebook is used to generate the heatmaps.

All code regarding BGN can be found in the folder BGN_algorithm.

Citation information :

@article{SANCHEZREINOSO2024130877,
title = {Application of machine learning tools to study the synergistic impact of physicochemical properties of peptides and filtration membranes on peptide migration during electrodialysis with filtration membranes},
journal = {Separation and Purification Technology},
pages = {130877},
year = {2024},
issn = {1383-5866},
doi = {https://doi.org/10.1016/j.seppur.2024.130877},
url = {https://www.sciencedirect.com/science/article/pii/S1383586624046161},
author = {Zain Sanchez-Reinoso and Mathieu Bazinet and Benjamin Leblanc and Jean-Pierre Clément and Pascal Germain and Laurent Bazinet},
}