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DOI: 10.1016/j.pharmthera.2019.107395
¤ OpenAccess: Green
This work has “Green” OA status. This means it may cost money to access on the publisher landing page, but there is a free copy in an OA repository.
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
Konstantinos Vougas,Theodore Sakellaropoulos,Athanassios Kotsinas,George-Romanos P Foukas,Ανδρέας Νταργαράς,Filippos Koinis,Alexander Polyzos,Vassilios Myrianthopoulos,Hua Zhou,Sonali Narang,Vassilis Georgoulias,Leonidas G. Alexopoulos,Iannis Aifantis,Paul A. Townsend,Petros P. Sfikakis,Rebecca C. Fitzgerald,Dimitris Thanos,Jiří Bártek,Russell Petty,Aristotelis Tsirigos,Vassilis G. Gorgoulis
Machine learning
Computer science
Association rule learning
2019
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“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” is a paper by Konstantinos Vougas Theodore Sakellaropoulos Athanassios Kotsinas George-Romanos P Foukas Ανδρέας Νταργαράς Filippos Koinis Alexander Polyzos Vassilios Myrianthopoulos Hua Zhou Sonali Narang Vassilis Georgoulias Leonidas G. Alexopoulos Iannis Aifantis Paul A. Townsend Petros P. Sfikakis Rebecca C. Fitzgerald Dimitris Thanos Jiří Bártek Russell Petty Aristotelis Tsirigos Vassilis G. Gorgoulis published in 2019. It has an Open Access status of “green”. You can read and download a PDF Full Text of this paper here.