A recent study develops a statistical method of correcting batch effects by employing remeasured samples in highly confounded case–control studies.
This is a preview of subscription content, access via your institution
Access options
Access Nature and 54 other Nature Portfolio journals
Get Nature+, our best-value online-access subscription
$29.99 / 30 days
cancel any time
Subscribe to this journal
Receive 12 digital issues and online access to articles
$99.00 per year
only $8.25 per issue
Buy this article
- Purchase on SpringerLink
- Instant access to full article PDF
Prices may be subject to local taxes which are calculated during checkout
References
Leek, J. T. et al. Nat. Rev. Genet. 11, 733–739 (2010).
Goh, W. W. B., Wang, W. & Wong, L. Trends Biotechnol. 35, 498–507 (2017).
Ye, H., Zhang, Z., Wang, C., Goode, E. L. & Chen, J. Nat. Comput. Sci. https://doi.org/10.1038/s43588-023-00500-8 (2023).
Auer, P. L. & Doerge, R. W. Genetics 185, 405–416 (2010).
Zimmermann, G., Pauly, M. & Bathke, A. C. Statist. Meth. Med. Res. 28, 3808–3821 (2019).
Johnson, W. E., Li, C. & Rabinovic, A. Biostatistics 8, 118–127 (2007).
Zhou, L., Sue, A. C.-H. & Goh, W. W. B. J. Genet. Genom. 46, 433–443 (2019).
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Competing interests
The authors declare no competing interests.
Rights and permissions
About this article
Cite this article
Zhong, L., Bacher, R. Leveraging remeasured samples in biomedical studies. Nat Comput Sci 3, 669–670 (2023). https://doi.org/10.1038/s43588-023-00491-6
Published:
Issue Date:
DOI: https://doi.org/10.1038/s43588-023-00491-6