Cargando…
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...
Autores principales: | , , , , , |
---|---|
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 |
_version_ | 1782517540120952832 |
---|---|
author | Lutsik, Pavlo Slawski, Martin Gasparoni, Gilles Vedeneev, Nikita Hein, Matthias Walter, Jörn |
author_facet | Lutsik, Pavlo Slawski, Martin Gasparoni, Gilles Vedeneev, Nikita Hein, Matthias Walter, Jörn |
author_sort | Lutsik, Pavlo |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-5366155 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-53661552017-03-28 MeDeCom: discovery and quantification of latent components of heterogeneous methylomes Lutsik, Pavlo Slawski, Martin Gasparoni, Gilles Vedeneev, Nikita Hein, Matthias Walter, Jörn Genome Biol Method 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. BioMed Central 2017-03-24 /pmc/articles/PMC5366155/ /pubmed/28340624 http://dx.doi.org/10.1186/s13059-017-1182-6 Text en © The Author(s) 2017 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License(http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver(http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Method Lutsik, Pavlo Slawski, Martin Gasparoni, Gilles Vedeneev, Nikita Hein, Matthias Walter, Jörn MeDeCom: discovery and quantification of latent components of heterogeneous methylomes |
title | MeDeCom: discovery and quantification of latent components of heterogeneous methylomes |
title_full | MeDeCom: discovery and quantification of latent components of heterogeneous methylomes |
title_fullStr | MeDeCom: discovery and quantification of latent components of heterogeneous methylomes |
title_full_unstemmed | MeDeCom: discovery and quantification of latent components of heterogeneous methylomes |
title_short | MeDeCom: discovery and quantification of latent components of heterogeneous methylomes |
title_sort | medecom: discovery and quantification of latent components of heterogeneous methylomes |
topic | Method |
url | 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 |
work_keys_str_mv | AT lutsikpavlo medecomdiscoveryandquantificationoflatentcomponentsofheterogeneousmethylomes AT slawskimartin medecomdiscoveryandquantificationoflatentcomponentsofheterogeneousmethylomes AT gasparonigilles medecomdiscoveryandquantificationoflatentcomponentsofheterogeneousmethylomes AT vedeneevnikita medecomdiscoveryandquantificationoflatentcomponentsofheterogeneousmethylomes AT heinmatthias medecomdiscoveryandquantificationoflatentcomponentsofheterogeneousmethylomes AT walterjorn medecomdiscoveryandquantificationoflatentcomponentsofheterogeneousmethylomes |