An evaluation of methods correcting for cell-type heterogeneity in DNA methylation studies

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Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 1474-760X

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: An evaluation of methods correcting for cell-type heterogeneity in DNA methylation studies ; volume:17 ; number:1 ; day:3 ; month:5 ; year:2016 ; pages:1-17 ; date:12.2016
Genome biology ; 17, Heft 1 (3.5.2016), 1-17, 12.2016

Creator: McGregor, Kevin

Contributor: Bernatsky, Sasha
Colmegna, Ines
Hudson, Marie
Pastinen, Tomi
Labbe, Aurélie
Greenwood, Celia M.T
SpringerLink (Online service)

DOI: 10.1186/s13059-016-0935-y

URN: urn:nbn:de:1111-201605055695

Rights: Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 11:02 AM CEST

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McGregor, Kevin
Bernatsky, Sasha
Colmegna, Ines
Hudson, Marie
Pastinen, Tomi
Labbe, Aurélie
Greenwood, Celia M.T
SpringerLink (Online service)

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An evaluation of methods correcting for cell-type heterogeneity in DNA methylation studies

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Other Objects (12)

Validating reference-based algorithms to determine cell-type heterogeneity in ovarian cancer DNA methylation studies

Correcting for cell-type effects in DNA methylation studies: reference-based method outperforms latent variable approaches in empirical studies

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Guidelines for cell-type heterogeneity quantification based on a comparative analysis of reference-free DNA methylation deconvolution software

Correcting for cell-type composition bias in epigenome-wide association studies

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Investigation of DNA methylation heterogeneity in cancer

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Differential DNA methylation and changing cell-type proportions as fibrotic stage progresses in NAFLD

Transcriptome- and DNA methylation-based cell-type deconvolutions produce similar estimates of differential gene expression and differential methylation

Validating reference-based algorithms to determine cell-type heterogeneity in ovarian cancer DNA methylation studies

Correcting for cell-type effects in DNA methylation studies: reference-based method outperforms latent variable approaches in empirical studies

A comparison of reference-based algorithms for correcting cell-type heterogeneity in Epigenome-Wide Association Studies

Response to: Correcting for cell-type effects in DNA methylation studies: reference-based method outperforms latent variable approaches in empirical studies

Guidelines for cell-type heterogeneity quantification based on a comparative analysis of reference-free DNA methylation deconvolution software

Correcting for cell-type composition bias in epigenome-wide association studies

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Transcriptome- and DNA methylation-based cell-type deconvolutions produce similar estimates of differential gene expression and differential methylation

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Correcting for cell-type effects in DNA methylation studies: reference-based method outperforms latent variable approaches in empirical studies

A comparison of reference-based algorithms for correcting cell-type heterogeneity in Epigenome-Wide Association Studies

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Guidelines for cell-type heterogeneity quantification based on a comparative analysis of reference-free DNA methylation deconvolution software

Correcting for cell-type composition bias in epigenome-wide association studies

Estimating genome-wide DNA methylation heterogeneity with methylation patterns

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