Table of Contents Author Guidelines Submit a Manuscript
Research Article
BioMed Research International
Volume 2017, Article ID 9393251, 1 page

Corrigendum to “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 18 October 2017; Accepted 26 October 2017; Published 13 November 2017

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.

Linked 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 · View at Google Scholar