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Corrigendum | Open Access
Corrigendum to “Functional Virtual Flow Cytometry: A Visual Analytic Approach for Characterizing Single-Cell Gene Expression Patterns”
Zhi Han
,1,2 Travis Johnson,2 Jie Zhang,2,3 Xuan Zhang,1 and Kun Huang
21College of Software, Nankai University, Tianjin, China
2Department of Biomedical Informatics, The Ohio State University, Columbus, OH, USA
3The CCC Biomedical Informatics Shared Resource, The Ohio State University, Columbus, OH, USA
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
- 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
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.
