kTWAS: integrating kernel machine with transcriptome-wide association studies improves statistical power and reveals novel genes - Cao, Chen; Kwok, Devin; Edie, Shannon; Li, Qing; Ding, Bowei; Kossinna, Pathum; Campbell, Simone; Wu, Jingjing; Greenberg, Matthew; Long, Quan (Briefings in bioinformatics, 2021)
Keywords: Agglomeration; Autism; Computer Simulation; Feature selection; Gene mapping; Genes; Genetic Association Studies; Genetic Variation; Genome-Wide Association Study; Genotype; Genotypes; Genotyping; Humans; Kernel functions; Learning algorithms; Machine learning; Mapping; Models, Genetic; Phenotypes; Phenotypic variations; Software; Source code; Statistical power; Transcriptome; Transcriptomes; kernel methods; nonlinear genetic effects; transcriptome-wide association studies (TWAS); power analysis