Article Versions Notes

Polano M, Chierici M, Dal Bo M, Gentilini D, Di Cintio F, Baboci L, Gibbs DL, Furlanello C, Toffoli G. A Pan-Cancer Approach to Predict Responsiveness to Immune Checkpoint Inhibitors by Machine Learning. Cancers. 2019; 11(10):1562. https://doi.org/10.3390/cancers11101562

Polano, Maurizio, Marco Chierici, Michele Dal Bo, Davide Gentilini, Federica Di Cintio, Lorena Baboci, David L. Gibbs, Cesare Furlanello, and Giuseppe Toffoli. 2019. "A Pan-Cancer Approach to Predict Responsiveness to Immune Checkpoint Inhibitors by Machine Learning" Cancers 11, no. 10: 1562. https://doi.org/10.3390/cancers11101562

Polano, M., Chierici, M., Dal Bo, M., Gentilini, D., Di Cintio, F., Baboci, L., Gibbs, D. L., Furlanello, C., & Toffoli, G. (2019). A Pan-Cancer Approach to Predict Responsiveness to Immune Checkpoint Inhibitors by Machine Learning. Cancers, 11(10), 1562. https://doi.org/10.3390/cancers11101562