BioMed Research International

BioMed Research International / 2017 / Article

Corrigendum | Open Access

Volume 2017 |Article ID 9393251 | 1 page | https://doi.org/10.1155/2017/9393251

Corrigendum to “Functional Virtual Flow Cytometry: A Visual Analytic Approach for Characterizing Single-Cell Gene Expression Patterns”

Received18 Oct 2017
Accepted26 Oct 2017
Published13 Nov 2017

In the article titled “Functional Virtual Flow Cytometry: A Visual Analytic Approach for Characterizing Single-Cell Gene Expression Patterns” [1], an acknowledgment should be added as follows:

The work was also partially supported by the Shenzhen Peacock Plan (KQTD2016053112051497 to Kun Huang).

References

  1. Z. Han, T. Johnson, J. Zhang, X. Zhang, and K. Huang, “Functional virtual flow cytometry: a visual analytic approach for characterizing single-cell gene expression patterns,” BioMed Research International, vol. 2017, Article ID 3035481, 9 pages, 2017. View at: Publisher Site | Google Scholar

Copyright © 2017 Zhi Han et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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