MCKAT: a multi-dimensional copy number variant kernel association test - Maus Esfahani, Nastaran; Catchpoole, Daniel; Khan, Javed; Kennedy, Paul J. (BMC bioinformatics, 2021)
Keywords: Algorithms; Analysis; Association test; Autism; Bioinformatics; Biologists; Biomedical and Life Sciences; Care and treatment; Chromosomes; Computational Biology/Bioinformatics; Computer Appl. in Life Sciences; Copy number; Copy number variant; Copy number variations; Cytogenetics; Datasets; Diagnosis; Disease; Disease-related trait; DNA Copy Number Variations; Genome; Genome-Wide Association Study; Genomes; Genotype & phenotype; Humans; Intellectual disabilities; Kernel method; Kernels; Life Sciences; Mental disorders; Mental retardation; Methodology; Methodology Article; Microarrays; Multidimensional methods; Phenotype; Rhabdomyosarcoma; Risk factors; Schizophrenia; Similarity; Statistical analysis; United States; Copy number variant; Disease-related trait; Association test; Kernel method