funtooNorm: an R package for normalization of DNA methylation data when there are multiple cell or tissue types

Motivation: DNA methylation patterns are well known to vary substantially across cell types or tissues. Hence, existing normalization methods may not be optimal if they do not take this into account. We therefore present a new R package for normalization of data from the Illumina Infinium Human Meth...

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Detalhes bibliográficos
Publicado no:Bioinformatics
Main Authors: Oros Klein, Kathleen, Grinek, Stepan, Bernatsky, Sasha, Bouchard, Luigi, Ciampi, Antonio, Colmegna, Ines, Fortin, Jean-Philippe, Gao, Long, Hivert, Marie-France, Hudson, Marie, Kobor, Michael S., Labbe, Aurelie, MacIsaac, Julia L., Meaney, Michael J., Morin, Alexander M., O’Donnell, Kieran J., Pastinen, Tomi, Van Ijzendoorn, Marinus H., Voisin, Gregory, Greenwood, Celia M.T.
Formato: Artigo
Idioma:Inglês
Publicado em: Oxford University Press 2016
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Applications Notes
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC4743629/
https://ncbi.nlm.nih.gov/pubmed/26500152
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btv615
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