Nature Communications (Nov 2021)

scPower accelerates and optimizes the design of multi-sample single cell transcriptomic studies

  • Katharina T. Schmid,
  • Barbara Höllbacher,
  • Cristiana Cruceanu,
  • Anika Böttcher,
  • Heiko Lickert,
  • Elisabeth B. Binder,
  • Fabian J. Theis,
  • Matthias Heinig

DOI
https://doi.org/10.1038/s41467-021-26779-7
Journal volume & issue
Vol. 12, no. 1
pp. 1 – 18

Abstract

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scRNASeq data is revolutionizing our understanding of biological systems, but is still expensive to generate. Here, the authors present a statistical framework that facilitates informed multi-sample experimental design to reduce unnecessary costs and maximize the utility of the generated data.