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  • Correction
  • Open Access

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

BMC Genomics201819:558

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

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


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:
$$ {G}_i=\frac{1}{n}\left(n+1-2\left(\frac{\sum_{j=1}^n\left(n+1-j\right){x}_{ij}^{\prime }}{\sum_{j=1}^n{x}_{ij}^{\prime }}\right)\right), $$
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.



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Authors’ Affiliations

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


  1. Zhang JD, et al. Detect tissue heterogeneity in gene expression data with BioQC. BMC Genomics. 2017;18:277. ArticlePubMedPubMed CentralGoogle Scholar


© The Author(s). 2018