Accounting for cell lineage and sex effects in the identification of cell-specific DNA methylation using a Bayesian model selection algorithm-Reference-Cited by-同舟云学术

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Accounting for cell lineage and sex effects in the identification of cell-specific DNA methylation using a Bayesian model selection algorithm

Published:2017-09-28 Issue:9 Volume:12 Page:e0182455
ISSN:1932-6203
Container-title:PLOS ONE
language:en
Short-container-title:PLoS ONE

Author:

White Nicole^ORCID,Benton Miles,Kennedy Daniel,Fox Andrew,Griffiths Lyn,Lea Rodney,Mengersen Kerrie

Funder

Queensland University of Technology

Australian Centre of Excellence in Mathematical and Statistical Frontiers

Australian Research Council

Australian Government Research Training Program

Multiple Sclerosis Research Australia

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference36 articles.

1. Gene expression: Disentangling DNA methylation;M Muers;Nat Rev Genet,2013

2. Genome-scale DNA methylation maps of pluripotent and differentiated cells;A Meissner;Nature,2008

3. The role of DNA methylation in setting up chromatin structure during development;T Hashimshony;Nature Genetics,2003

4. A comprehensive overview of Infinium HumanMethylation450 data processing;S Dedeurwaerder;Briefings in bioinformatics,2014

5. Evaluation of the Infinium Methylation 450K technology;S Dedeurwaerder;Epigenomics,2011

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1. Nonlinear ridge regression improves cell-type-specific differential expression analysis;BMC Bioinformatics;2021-03-22

2. Nonlinear ridge regression improves cell-type-specific differential expression analysis;2020-06-19

3. Methylomic profiles reveal sex-specific differences in leukocyte composition associated with post-traumatic stress disorder;Brain, Behavior, and Immunity;2019-10

4. Methylomic profiles reveal sex-specific shifts in leukocyte composition associated with post-traumatic stress disorder;2019-04-01

5. Epigenetics and Ageing;Centenarians;2019

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