Machine learning predicts rapid relapse of triple negative breast cancer
Y. Zhang, W. Nock, M. Wyse, Z. Weber, E. Adams, S. Stockard, D. Tallman, S. Asad, E. P. Winer, N. U. Lin, M. Cherian, M. Lustberg, B. Ramaswamy, S. Sardesai, J. Vandeusen, , D. G. Stover
The paper uses machine learning to predict rapid relapse of triple-negative breast cancer based on clinical and genomic features.
bioRxiv · Apr 21, 2019Cancer Biology