A comparison of methods for interpreting random forest models of genetic association in the presence of non-additive interactions - Orlenko, Alena; Moore, Jason H. (BioData mining, 2021)
Keywords: Algorithms; Alzheimer's disease; Association analysis; Bioinformatics; Biomedical and Life Sciences; Cardiovascular diseases; Comparative analysis; Computational Biology/Bioinformatics; Computer Appl. in Life Sciences; Data mining; Data Mining and Knowledge Discovery; Datasets; Diabetes mellitus; Diagnosis; Disease; Epidemiology; Epistasis; Experiments; Feature importances; Game theory; Gene loci; Genetic analysis; Genotype & phenotype; Learning algorithms; Life Sciences; Machine learning; Medical research; Medicine, Experimental; Methods; Permutations; Phenotypes; Population; Prediction models; Random forest; Simulation; Glaucoma; Feature importances; Simulation; Alzheimer’s disease; Machine learning; Random forest; Epistasis