Tackling the widespread and critical impact of batch effects in high-throughput data

Batch effects can lead to incorrect biological conclusions but are not widely considered. The authors show that batch effects are relevant to a range of high-throughput 'omics' data sets and are crucial to address. They also explain how batch effects can be mitigated. High-throughput techn...

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Bibliographic Details
Published in:	Nature reviews. Genetics Vol. 11; no. 10; pp. 733 - 739
Main Authors:	Leek, Jeffrey T., Scharpf, Robert B., Bravo, Héctor Corrada, Simcha, David, Langmead, Benjamin, Johnson, W. Evan, Geman, Donald, Baggerly, Keith, Irizarry, Rafael A.
Format:	Journal Article
Language:	English
Published:	London Nature Publishing Group UK 01.10.2010 Nature Publishing Group
Subjects:	631/1647/1513 631/1647/48 Agriculture Animal Genetics and Genomics Biological and medical sciences Biology Biomedical and Life Sciences Biomedicine Biotechnology - methods Biotechnology - standards Biotechnology - statistics & numerical data Cancer Research Computational Biology - methods Diabetes DNA methylation DNA microarrays DNA sequencing Fundamental and applied biological sciences. Psychology Gene Function Genes Genetics of eukaryotes. Biological and molecular evolution Genomes Genomics Genomics - methods Genomics - standards Genomics - statistics & numerical data Human Genetics Nucleotide sequencing Oligonucleotide Array Sequence Analysis - methods Oligonucleotide Array Sequence Analysis - standards Oligonucleotide Array Sequence Analysis - statistics & numerical data opinion-2 Periodicals as Topic - standards Polymerase chain reaction Quantitative genetics Research Design - standards Research Design - statistics & numerical data Sequence Analysis, DNA - methods Sequence Analysis, DNA - standards Sequence Analysis, DNA - statistics & numerical data Stem cells United States Review
ISSN:	1471-0056, 1471-0064, 1471-0064
Online Access:	Get full text
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