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Population Epigenetics

Overview of attention for book
Attention for Chapter 316: Statistical Methods for Methylation Data
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Chapter title
Statistical Methods for Methylation Data
Chapter number 316
Book title
Population Epigenetics
Published in
Methods in molecular biology, April 2016
DOI 10.1007/7651_2015_316
Pubmed ID
Book ISBNs
978-1-4939-6901-2, 978-1-4939-6903-6
Authors

Graham W. Horgan, Sok-Peng Chua, Horgan, Graham W., Chua, Sok-Peng

Abstract

Methylation data are continuous variables with most values in a sample lying in a narrow range. In a research project they can either be the outcome, or a variable potentially explaining some of the variation in other outcomes. A range of statistical methods are appropriate depending on the experimental questions. Before the formal analysis is carried out, it is important that data are checked and cleaned. Where batch effects may be present, this should be accounted for in the analysis. Where many methylation sites are investigated in a study, attention should be given to multiple comparisons and false discovery rates, and multivariate methods such as principal component analysis may be useful.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 33%
Student > Ph. D. Student 2 22%
Student > Bachelor 1 11%
Student > Master 1 11%
Student > Doctoral Student 1 11%
Other 0 0%
Unknown 1 11%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 11%
Linguistics 1 11%
Nursing and Health Professions 1 11%
Agricultural and Biological Sciences 1 11%
Computer Science 1 11%
Other 1 11%
Unknown 3 33%