Accounting for technical noise in single-cell RNA-seq experiments
Brennecke, P., Anders, S., Kim, J.K.. et al.
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.
Brennecke, P., Anders, S., Kim, J.K.. et al. "Accounting for technical noise in single-cell RNA-seq experiments" Nature Methods (2013): 1,093–5