000 01830 a2200517 4500
005 20250518053004.0
264 0 _c20200717
008 202007s 0 0 eng d
022 _a1879-016X
024 7 _a10.1016/j.pharmthera.2019.107395
_2doi
040 _aNLM
_beng
_cNLM
100 1 _aVougas, Konstantinos
245 0 0 _aMachine 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.
_h[electronic resource]
260 _bPharmacology & therapeutics
_c11 2019
300 _a107395 p.
_bdigital
500 _aPublication Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't; Review
650 0 4 _aAnimals
650 0 4 _aComputer Simulation
650 0 4 _aData Mining
650 0 4 _aHumans
650 0 4 _aMachine Learning
650 0 4 _aNeoplasms
_xdrug therapy
650 0 4 _aTreatment Outcome
700 1 _aSakellaropoulos, Theodore
700 1 _aKotsinas, Athanassios
700 1 _aFoukas, George-Romanos P
700 1 _aNtargaras, Andreas
700 1 _aKoinis, Filippos
700 1 _aPolyzos, Alexander
700 1 _aMyrianthopoulos, Vassilios
700 1 _aZhou, Hua
700 1 _aNarang, Sonali
700 1 _aGeorgoulias, Vassilis
700 1 _aAlexopoulos, Leonidas
700 1 _aAifantis, Iannis
700 1 _aTownsend, Paul A
700 1 _aSfikakis, Petros
700 1 _aFitzgerald, Rebecca
700 1 _aThanos, Dimitris
700 1 _aBartek, Jiri
700 1 _aPetty, Russell
700 1 _aTsirigos, Aristotelis
700 1 _aGorgoulis, Vassilis G
773 0 _tPharmacology & therapeutics
_gvol. 203
_gp. 107395
856 4 0 _uhttps://doi.org/10.1016/j.pharmthera.2019.107395
_zAvailable from publisher's website
999 _c29968124
_d29968124