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Journal article Published 2019

Machine learning and data mining frameworks for predicting drug response in cancer: An overview and a novel in silico screening process based on association rule mining

Authors

K. Vougas, T. Sakelaropoulos, A. Kotsinas, G.P, Foukas, A. Ntargaras, F. Koinis, A. Polyzos, V. Myrianthopoulos, H. Zhou, S. Narang, V. Georgoulias, L. Alexopoulos, I. Aifantis, P. Townsend, P. Sfikakis,
Show all 21 authors R. Fitzgerald, D. Thanos, Jiří Bártek, R. Petty, A. Tsirigos, V. G. Gorgoulis

Pharmacology & Therapeutics 203, 107395 (2019)

Cite this publication

VOUGAS, K., T. SAKELAROPOULOS, A. KOTSINAS, G. FOUKAS, A. NTARGARAS, F. KOINIS, A. POLYZOS, V. MYRIANTHOPOULOS, H. ZHOU, S. NARANG, V. GEORGOULIAS, L. ALEXOPOULOS, I. AIFANTIS, P. TOWNSEND, P. SFIKAKIS, R. FITZGERALD, D. THANOS, J. BÁRTEK, R. PETTY, A. TSIRIGOS, V. GORGOULIS: Machine learning and data mining frameworks for predicting drug response in cancer: An overview and a novel in silico screening process based on association rule mining. Pharmacology & Therapeutics. 2019, 203, 107395, ISSN: 0163-7258, PMID: 31374225.

Details

ISSN
0163-7258