<p>SC<sup>3</sup> - consensus clustering of single-cell RNA-Seq data</p>

Vladimir Kiselev; Michael Schaub; Tallulah S. Andrews; Mauricio Barahona; Martin Hemberg

doi:10.7490/f1000research.1110908.1

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Kiselev V, Schaub M, Andrews TS et al. SC³ - consensus clustering of single-cell RNA-Seq data [version 1; not peer reviewed]. F1000Research 2015, 4:1182 (poster) (https://doi.org/10.7490/f1000research.1110908.1)

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SC³ - consensus clustering of single-cell RNA-Seq data

Vladimir Kiselev¹, Michael Schaub, Tallulah S. Andrews, Mauricio Barahona, Martin Hemberg

Published 29 Oct 2015 (https://doi.org/10.7490/f1000research.1110908.1)

Author Affiliations

¹ Wellcome Trust Sanger Institute, UK

Copyright © 2015 Kiselev V et al. This is an open access work distributed under the terms of 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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CITE

Published 29 Oct 2015

SC³ - consensus clustering of single-cell RNA-Seq data
[version 1; not peer reviewed]

Vladimir Kiselev¹, Michael Schaub, Tallulah S. Andrews, Mauricio Barahona, Martin Hemberg

Author Affiliations

¹ Wellcome Trust Sanger Institute, UK

Presented at

Functional Genomics & Systems Biology: From Model Organisms to Human Health 2015

Abstract

Competing Interests

No competing interests were disclosed

Keywords

single cell rna-seq, clustering, tools, R package

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SC3 - consensus clustering of single-cell RNA-Seq data

SC3 - consensus clustering of single-cell RNA-Seq data [version 1; not peer reviewed]

Terms relating to user comments

SC³ - consensus clustering of single-cell RNA-Seq data

SC³ - consensus clustering of single-cell RNA-Seq data
[version 1; not peer reviewed]