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MeDeCom: discovery and quantification of latent components of heterogeneous methylomes

It is important for large-scale epigenomic studies to determine and explore the nature of hidden confounding variation, most importantly cell composition. We developed MeDeCom as a novel reference-free computational framework that allows the decomposition of complex DNA methylomes into latent methyl...

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Detalles Bibliográficos
Autores principales: Lutsik, Pavlo, Slawski, Martin, Gasparoni, Gilles, Vedeneev, Nikita, Hein, Matthias, Walter, Jörn
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5366155/
https://www.ncbi.nlm.nih.gov/pubmed/28340624
http://dx.doi.org/10.1186/s13059-017-1182-6
Descripción
Sumario:It is important for large-scale epigenomic studies to determine and explore the nature of hidden confounding variation, most importantly cell composition. We developed MeDeCom as a novel reference-free computational framework that allows the decomposition of complex DNA methylomes into latent methylation components and their proportions in each sample. MeDeCom is based on constrained non-negative matrix factorization with a new biologically motivated regularization function. It accurately recovers cell-type-specific latent methylation components and their proportions. MeDeCom is a new unsupervised tool for the exploratory study of the major sources of methylation variation, which should lead to a deeper understanding and better biological interpretation. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13059-017-1182-6) contains supplementary material, which is available to authorized users.