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Nature Research, Nature Methods, 11(10), p. 1093-1095, 2013

DOI: 10.1038/nmeth.2645

Nature Research, Nature Methods, 2(11), p. 210-210, 2014

DOI: 10.1038/nmeth0214-210b

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Erratum: Corrigendum: Accounting for technical noise in single-cell RNA-seq experiments

This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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Data provided by SHERPA/RoMEO

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.