Rafique, RaihanIslam, S. M.RiazulKazi, Julhash U.2023-10-052023-10-052021-07-08Rafique, R, Islam, S M R & Kazi, J U 2021, 'Machine learning in the prediction of cancer therapy', Computational and Structural Biotechnology Journal, vol. 19, pp. 4003-4017. https://doi.org/10.1016/j.csbj.2021.07.0032001-0370ORCID: /0000-0003-2968-9561/work/144004112https://hdl.handle.net/2164/21854Funding Information: This research was supported by the Crafoord Foundation (JUK), the Swedish Cancer Society (JUK), and the Swedish Childhood Cancer Foundation (JUK). Open Access funding is provided by Lund University.15163226engSDG 3 - Good Health and Well-beingArtificial intelligenceConvolutional neural networkDeep learningDeep neural networkDrug combinationsDrug synergyElastic netFactorization machineGraph convolutional networkHigher-order factorization machinesLassoMatrix factorizationMonotherapy predictionOrdinary differential equationRandom forestsRestricted Boltzmann machineRidge regressionSupport vector machinesVariational autoencoderVisible neural networkQA75 Electronic computers. Computer scienceBiotechnologyBiophysicsStructural BiologyBiochemistryGeneticsComputer Science ApplicationsQA75Journal item10.1016/j.csbj.2021.07.003http://www.scopus.com/inward/record.url?scp=85110763754&partnerID=8YFLogxK19