Cancer drug discovery as a low rank tensor completion problem
V. Siruvallur Murali, D. Agac Cobanoglu, M. Hsieh, M. Zinn, V. S. Malladi, J. Gesell, N. S. Williams, E. S. Welf, G. V. Raj, M. C. Cobanoglu
This paper frames cancer drug discovery as a low rank tensor completion problem and identifies novel drug candidates through computational methods and experimental validation.
bioRxiv · Mar 8, 2021 · PreprintCancer Biology