Python package for predicting pathological Complete Response (pCR) scores according to Azimzade et al. (2023). The original source code is available at https://github.com/YounessAzimzade/XML-TME-NAC-BC.
This package is under development and not yet available on PyPI. You can, nonetheless, install the development version directly from GitHub by running this command on your terminal (requires git):
pip install git+https://github.com/ocbe-uio/pCRscore.gitExplainable Machine Learning Reveals the Role of the Breast Tumor Microenvironment in Neoadjuvant Chemotherapy Outcome Youness Azimzade, Mads Haugland Haugen, Xavier Tekpli, Chloé B. Steen, Thomas Fleischer, David Kilburn, Hongli Ma, Eivind Valen Egeland, Gordon Mills, Olav Engebraaten, Vessela N. Kristensen, Arnoldo Frigessi, Alvaro Köhn-Luque bioRxiv 2023.09.07.556655; doi: https://doi.org/10.1101/2023.09.07.556655