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BioMed Research International
Volume 2017, Article ID 3035481, 9 pages
https://doi.org/10.1155/2017/3035481
Research Article

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

1College 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

Correspondence should be addressed to Kun Huang; ude.cmuso@gnauh.nuk

Received 3 March 2017; Accepted 22 May 2017; Published 17 July 2017

Academic Editor: Ansgar Poetsch

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.

How to Cite this Article

Zhi Han, Travis Johnson, Jie Zhang, Xuan Zhang, and Kun 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. https://doi.org/10.1155/2017/3035481.