SCnorm: robust normalization of single-cell RNA-seq data View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2017-06

AUTHORS

Rhonda Bacher, Li-Fang Chu, Ning Leng, Audrey P Gasch, James A Thomson, Ron M Stewart, Michael Newton, Christina Kendziorski

ABSTRACT

The normalization of RNA-seq data is essential for accurate downstream inference, but the assumptions upon which most normalization methods are based are not applicable in the single-cell setting. Consequently, applying existing normalization methods to single-cell RNA-seq data introduces artifacts that bias downstream analyses. To address this, we introduce SCnorm for accurate and efficient normalization of single-cell RNA-seq data. More... »

PAGES

584-586

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/nmeth.4263

DOI

http://dx.doi.org/10.1038/nmeth.4263

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1084862425

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/28418000


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