Challenges in unsupervised clustering of single-cell RNA-seq data-Reference-Cited by-同舟云学术

Challenges in unsupervised clustering of single-cell RNA-seq data

Published:2019-01-07 Issue:5 Volume:20 Page:273-282
ISSN:1471-0056
Container-title:Nature Reviews Genetics
language:en
Short-container-title:Nat Rev Genet

Author:

Kiselev Vladimir Yu^ORCID,Andrews Tallulah S.,Hemberg Martin^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Genetics(clinical),Genetics,Molecular Biology

Link

http://www.nature.com/articles/s41576-018-0088-9.pdf

Reference115 articles.

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3. Macosko, E. Z. et al. Highly parallel genome-wide expression profiling of individual cells using nanoliter droplets. Cell 161, 1202–1214 (2015).

4. Wolf, F. A., Angerer, P. & Theis, F. J. SCANPY: large-scale single-cell gene expression data analysis. Genome Biol. 19, 15 (2018).

5. Guo, M., Wang, H., Potter, S. S., Whitsett, J. A. & Xu, Y. SINCERA: a pipeline for single-cell RNA-Seq profiling analysis. PLOS Comput. Biol. 11, e1004575 (2015).

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