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. 2017 Nov 13;2017:9393251. doi: 10.1155/2017/9393251

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, Kun Huang 2,
PMCID: PMC5702934  PMID: 29259992

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.Han Z., Johnson T., Zhang J., Zhang X., Huang K. Functional virtual flow cytometry: a visual analytic approach for characterizing single-cell gene expression patterns. BioMed Research International. 2017;2017:9. doi: 10.1155/2017/3035481.3035481 [DOI] [PMC free article] [PubMed] [Google Scholar]

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