Epigenome-wide association studies without the need for cell-type composition
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Title
Epigenome-wide association studies without the need for cell-type composition
Authors
Keywords
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Journal
NATURE METHODS
Volume 11, Issue 3, Pages 309-311
Publisher
Springer Nature
Online
2014-01-27
DOI
10.1038/nmeth.2815
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- (2013) Devin C Koestler et al. Epigenetics
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- (2012) Karen A. Heichman et al. CLINICAL CHEMISTRY AND LABORATORY MEDICINE
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- (2012) Daniel C. Koboldt et al. NATURE
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- Differential DNA Methylation in Purified Human Blood Cells: Implications for Cell Lineage and Studies on Disease Susceptibility
- (2012) Lovisa E. Reinius et al. PLoS One
- Factors underlying variable DNA methylation in a human community cohort
- (2012) L. L. Lam et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
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- Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources
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