期刊
NATURE METHODS
卷 10, 期 11, 页码 1093-1095出版社
NATURE PORTFOLIO
DOI: 10.1038/NMETH.2645
关键词
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资金
- European Union
- Australian Research Council
- European Research Council [260507]
- European Research Council (ERC) [260507] Funding Source: European Research Council (ERC)
- Biotechnology and Biological Sciences Research Council [1300642] Funding Source: researchfish
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.
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