MethylPCA: a toolkit to control for confounders in methylome-wide association studies - Chen, Wenan; Gao, Guimin; Nerella, Srilaxmi; Hultman, Christina M; Magnusson, Patrik KE; Sullivan, Patrick F; Aberg, Karolina A; van den Oord, Edwin JCG (BMC bioinformatics, 2013)
Keywords: Algorithms; Analysis; Bioinformatics; Biomedical and Life Sciences; Computational Biology/Bioinformatics; Computer Appl. in Life Sciences; Computer programs; Data reduction; Deoxyribonucleic acid; Design; DNA; DNA Methylation; Experiments; Genetic Association Studies; Genetic variation; Genetics; Genome, Human; Genomes; Genomics; Grants; Humans; Information management; Life Sciences; Methylation; Microarrays; Nucleotide sequence; Operating systems; Principal Component Analysis; Principal components analysis; Programming languages; Science; Sequence analysis (methods); Sequence Analysis, DNA; Software; Statistical methods; Studies; Variables; Methylome-wide association studies; MBD-seq; Eigen-decomposition; Association test; Principal component analysis