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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Detalles Bibliográficos
Autores principales: 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: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2016
Materias:
Applications Notes
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4743629/
https://www.ncbi.nlm.nih.gov/pubmed/26500152
http://dx.doi.org/10.1093/bioinformatics/btv615

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4743629/
https://www.ncbi.nlm.nih.gov/pubmed/26500152
http://dx.doi.org/10.1093/bioinformatics/btv615

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