Letter to the Editor response: Nygaard et al
- PMID: 27780809
- PMCID: PMC5379915
- DOI: 10.1093/biostatistics/kxw031
Letter to the Editor response: Nygaard et al
Abstract
The article by Nygaard and others (2016) proposes that applying batch correction approaches to microarray data from studies with unbalanced designs may inadvertently exaggerate the differences observed. In seeking to illustrate their point, Nygaard and others (2016) utilized a dataset (GSE61901) from a study we published (Towfic and others, 2014) and showed that one analysis pipeline utilizing the traditional approach to batch correction (ComBat) yielded over 1000 differentially expressed probesets, while an alternative approach proposed by Nygaard and others (2016). (utilizing batch as a fixed effect and averaging technical replicates) recovered 11 differentially expressed probesets.
© The Author 2016. Published by Oxford University Press.
Comment in
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Reply to Towfic and others' letter to the editor.Biostatistics. 2017 Jul 1;18(3):586-587. doi: 10.1093/biostatistics/kxx001. Biostatistics. 2017. PMID: 28334081 No abstract available.
Comment on
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Methods that remove batch effects while retaining group differences may lead to exaggerated confidence in downstream analyses.Biostatistics. 2016 Jan;17(1):29-39. doi: 10.1093/biostatistics/kxv027. Epub 2015 Aug 13. Biostatistics. 2016. PMID: 26272994 Free PMC article.
References
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- Chen J. J. Delongchamp R. R. Tsai C.-A. Hsueh H., Sistare F., Thompson K. L. and Fuscoe J. C. (2004). Analysis of variance components in gene expression data. Bioinformatics 20, 1436–1446. - PubMed
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- Johnson E. (2011 April 15). Covariates in ComBat http://groups.google.com/forum/#!msg/combat-user-forum/26FZlgU2LFQ/W6U_L...(accessed December 15, 2014).
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