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

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.

Reference

  1. 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.

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Correspondence to Jitao David Zhang.

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Zhang, J.D., Hatje, K., Sturm, G. et al. Correction to: Detect tissue heterogeneity in gene expression data with BioQC. BMC Genomics 19, 558 (2018). https://doi.org/10.1186/s12864-018-4940-2

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