Computational analysis of cell-to-cell heterogeneity in single-cell RNA-sequencing data reveals hidden subpopulations of cells-Reference-Cited by-同舟云学术

Computational analysis of cell-to-cell heterogeneity in single-cell RNA-sequencing data reveals hidden subpopulations of cells

Published:2015-01-19 Issue:2 Volume:33 Page:155-160
ISSN:1087-0156
Container-title:Nature Biotechnology
language:en
Short-container-title:Nat Biotechnol

Author:

Buettner Florian,Natarajan Kedar N,Casale F Paolo,Proserpio Valentina,Scialdone Antonio,Theis Fabian J^ORCID,Teichmann Sarah A,Marioni John C,Stegle Oliver^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Biomedical Engineering,Molecular Medicine,Applied Microbiology and Biotechnology,Bioengineering,Biotechnology

Link

http://www.nature.com/articles/nbt.3102.pdf

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5. Citri, A., Pang, Z.P., Sudhof, T.C., Wernig, M. & Malenka, R.C. Comprehensive qPCR profiling of gene expression in single neuronal cells. Nat. Protoc. 7, 118–127 (2012).

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