Microarray and bulk RNA-seq data measure.

Background knowledge

Goal of this paper

Methods behind DESCEND

Results

Model evaluation

Case studies

Effect of cell size on differential non-zero mean and fraction analysis

DESCEND improves accuracy of cell type identification, by selecting better highly variable genes

Take-home messages

  • When all across-cell differences are accounted for, Poisson distribution is sufficient to capture technical noise in UMI-based scRNA-seq counts.

References

  • Wang, J., Huang, M., Torre, E., Dueck, H., Shaffer, S., Murray, J., … & Zhang, N. R. (2018). Gene expression distribution deconvolution in single-cell RNA sequencing. Proceedings of the National Academy of Sciences, 115(28), E6437-E6446.