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  • Correction
  • Open Access

Correction to: Detect tissue heterogeneity in gene expression data with BioQC

BMC Genomics201819:558

https://doi.org/10.1186/s12864-018-4940-2

  • Received: 16 July 2018
  • Accepted: 16 July 2018
  • Published:

The original article was published in BMC Genomics 2017 18:277

Correction

After the publication of this work [1], a mistake was noticed in the Eq. 1. Given an m  ×  n expression matrix with m genes and samples of n tissues, the correct definition of the Gini index for gene i is:
$$ {G}_i=\frac{1}{n}\left(n+1-2\left(\frac{\sum_{j=1}^n\left(n+1-j\right){x}_{ij}^{\prime }}{\sum_{j=1}^n{x}_{ij}^{\prime }}\right)\right), $$
(1)
where \( {x}_{ij}^{\prime } \) is the jth value in the non-descending ordered vector of xi(i = 1, …, m, j = 1, …, n). In the original version of the manuscript, the variable j in the parentheses of the nominator was erroneously written as i.

The authors apologize for the mistake and thank Mr. Tao Fang for pointing out this mistake.

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)
Roche Pharma Research and Early Development, Pharmaceutical Sciences, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd, Grenzacherstrasse 124, 4070 Basel, Switzerland
(2)
Institut Necker Enfants Malades, Inserm U1151, Université Paris Descartes, Paris Hôpital Necker Enfants Malades, 149, Rue de Sèvres, 75015 Paris, France
(3)
Present Address: Peter-Rot-Strasse 84, 4058 Basel, Switzerland

Reference

  1. Zhang JD, et al. Detect tissue heterogeneity in gene expression data with BioQC. BMC Genomics. 2017;18:277. https://doi.org/10.1186/s12864-017-3661-2.View ArticlePubMedPubMed CentralGoogle Scholar

Copyright

© The Author(s). 2018

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