Biomedical Research Foundation Academy Of AthensAcademy Of Athens
Research Highlights :Machine learning and data mining frameworks for predicting drugresponse in cancer: An overview and a novelin silicoscreening processbased on association rule mining


Vassilis G. Gorgoulis, Konstantinos Vougas and colleagues recently published in Pharmacology and Therapeutics a focused overview on machine learning and the ability of these algorithms to integrate big “omic” data into effective models capable to predict drug-response for cancer patients. Within this frame the authors also present their own pioneering in silico pipeline based on Association Rule Mining, for identifying genes as candidate drivers of drug response in cancer.

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.
Vougas K, Sakellaropoulos T, Kotsinas A, Foukas GP, Ntargaras A, Koinis F, Polyzos A, Myrianthopoulos V, Zhou H, Narang S, Georgoulias V, Alexopoulos L, Aifantis I, Townsend PA, Sfikakis P, Fitzgerald R, Thanos D, Bartek J, Petty R, Tsirigos A, Gorgoulis VG.
Pharmacol Ther. 2019 Jul 30:107395. doi: 10.1016/j.pharmthera.2019.107395.