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Journal article Open access Published 2019

A Deep Learning Framework for Predicting Response to Therapy in Cancer

Authors

T. Sakelaropoulos, K. Vougas, S. Narang, F. Koinis, A. Kotsinas, A. Polyzos, T.J. Moss, S. Piha-Paul, H. Zhou, E. Kardala, E. Damianidou, L. Alexopoulos, I. Aifantis, P. Townsend, M.I. Panayiotidis,
Show all 23 authors P. Sfikakis, Jiří Bártek, R. Fitzgerald, D. Thanos, K.R. Mills Shaw, R. Petty, A. Tsirigos, V. G. Gorgoulis

Cell Reports 29(11), 3367-3373.e4 (2019)

Cite this publication

SAKELAROPOULOS, T., K. VOUGAS, S. NARANG, F. KOINIS, A. KOTSINAS, A. POLYZOS, T. MOSS, S. PIHA-PAUL, H. ZHOU, E. KARDALA, E. DAMIANIDOU, L. ALEXOPOULOS, I. AIFANTIS, P. TOWNSEND, M. PANAYIOTIDIS, P. SFIKAKIS, J. BÁRTEK, R. FITZGERALD, D. THANOS, K. MILLS SHAW, R. PETTY, A. TSIRIGOS, V. GORGOULIS: A Deep Learning Framework for Predicting Response to Therapy in Cancer. Cell Reports. 2019, 29(11), 3367-3373.e4, ISSN: 2211-1247, PMID: 31825821,  PDF.

Details

ISSN
2211-1247