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  • Erratum
  • Open Access

Erratum to: An integrative Bayesian Dirichlet-multinomial regression model for the analysis of taxonomic abundances in microbiome data

  • 1,
  • 2,
  • 3,
  • 4,
  • 5 and
  • 1Email author
BMC BioinformaticsBMC series – open, inclusive and trusted201718:185

https://doi.org/10.1186/s12859-017-1606-z

  • Received: 15 March 2017
  • Accepted: 15 March 2017
  • Published:

The original article was published in BMC Bioinformatics 2017 18:94

Erratum

After publication of the original article [1] it was brought to our attention that author Samuel A. Shelburne was incorrectly included as Samuel A. Shelbourne. The correct spelling of the name is included in the author list of this erratum and has been updated in the original article.

Notes

Declarations

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Authors’ Affiliations

(1)
Department of Statistics, Rice University, Houston, TX, USA
(2)
ESOMAS Department, University of Torino and Collegio Carlo Alberto, Torino, Italy
(3)
Department of Statistics, University of California, Irvine, CA, USA
(4)
Department of Infectious Disease, Infection Control, and Employee Health, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
(5)
Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA

Reference

  1. Wadsworth, et al. An integrative Bayesian Dirichletmultinomial regression model for the analysis of taxonomic abundances in microbiome data. BMC Bioinform. 2017;18:94. doi:10.1186/s12859-017-1516-0.View ArticleGoogle Scholar

Copyright

© The Author(s). 2017

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