Deep learning generates custom-made logistic regression models for explaining how breast cancer subtypes are classified
T. Shibahara, C. Wada, Y. Yamashita, K. Fujita, M. Sato, A. Okamoto, Y. Ono
The paper develops an explainable deep learning model to generate logistic regression models for breast cancer subtype classification, showing its utility in identifying gene-subtype relationships.
bioRxiv · May 10, 2021 · PreprintCancer Biology