Nature Communications (Nov 2020)

muscat detects subpopulation-specific state transitions from multi-sample multi-condition single-cell transcriptomics data

  • Helena L. Crowell,
  • Charlotte Soneson,
  • Pierre-Luc Germain,
  • Daniela Calini,
  • Ludovic Collin,
  • Catarina Raposo,
  • Dheeraj Malhotra,
  • Mark D. Robinson

DOI
https://doi.org/10.1038/s41467-020-19894-4
Journal volume & issue
Vol. 11, no. 1
pp. 1 – 12

Abstract

Read online

Single-cell transcriptomics enhanced our ability to profile heterogeneous cell populations. It is not known which statistical frameworks are performant to detect subpopulation-level responses. Here, the authors developed a simulation framework to evaluate various methods across a range of scenarios.