funtooNorm: an R package for normalization of DNA methylation data when there are multiple cell or tissue types
Oros Klein K, Grinek S, Bernatsky S, Bouchard L, Ciampi A, Colmegna I, Fortin JP, Gao L, Hivert MF, Hudson M, Kobor MS, Labbe A, MacIsaac JL, Meaney MJ, Morin AM, O'Donnell KJ, Pastinen T, Van Ijzendoorn MH, Voisin G, Greenwood CM. funtooNorm: an R package for normalization of DNA methylation data when there are multiple cell or tissue types. Bioinformatics 2015, 32: 593-595. PMID: 26500152, PMCID: PMC4743629, DOI: 10.1093/bioinformatics/btv615.Peer-Reviewed Original ResearchMeSH KeywordsAutoimmune DiseasesCell LineageDiabetes, GestationalDNA MethylationFemaleHumansOligonucleotide Array Sequence AnalysisOrgan SpecificityPregnancySoftwareConceptsMethylation patternsIllumina Infinium Human Methylation450 BeadChipDNA methylation patternsBenefits of cellsDNA methylation dataTissue typesR packageInter-tissue variabilityMethylation dataChromosome XCell typesNew R packageNormalization of dataMore cellsCellsMultiple cellsCross-validated errorBeadChipBioconductor