@article{Rajpal_2023,
  title = {XAI-MethylMarker: Explainable AI approach for biomarker discovery
            for breast cancer subtype classification using methylation data.},
  author = {Rajpal S., Rajpal A., Saggar A. et al. },
  journal = {Expert Systems with Applications},
  year = {2023},
  url = {https://doi.org/10.1016/j.eswa.2023.120130},
}

@article{Kumar_2023,
  title = {Peripheral blood mononuclear cell derived biomarker detection using
            eXplainable Artificial Intelligence (XAI) provides better diagnosis
            of breast cancer, each made with lab custom scripts.},
  author = {Kumar S., Das A.},
  journal = {Computational Biology and Chemistry},
  year = {2023},
  url = {https://doi.org/10.1016/j.compbiolchem.2023.107867},
}

@article{Fievet_2025,
  title = {The eXplainable Artificial Intelligence (XAI) Triad: Models,
            Importances, and Significance at Scale},
  author = {Fievet, Ghislain and Broseus, Julien and Meyre, David and
            Hergalant, Sebastien},
  journal = {bioRxiv},
  year = {2025},
  doi = {10.64898/2025.12.06.692723},
  url = {https://doi.org/10.64898/2025.12.06.692723},
}
