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Nat Methods. 2013 Nov;10(11):1093-5. doi: 10.1038/nmeth.2645. Epub 2013 Sep 22.

Accounting for technical noise in single-cell RNA-seq experiments.

Author information

1
1] European Molecular Biology Laboratory (EMBL), Heidelberg, Germany. [2].

Erratum in

  • Nat Methods. 2014 Feb;11(2):210.

Abstract

Single-cell RNA-seq can yield valuable insights about the variability within a population of seemingly homogeneous cells. We developed a quantitative statistical method to distinguish true biological variability from the high levels of technical noise in single-cell experiments. Our approach quantifies the statistical significance of observed cell-to-cell variability in expression strength on a gene-by-gene basis. We validate our approach using two independent data sets from Arabidopsis thaliana and Mus musculus.

PMID:
24056876
DOI:
10.1038/nmeth.2645
[Indexed for MEDLINE]

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