Testing for differential abundance in mass cytometry data

Nat Methods. 2017 Jul;14(7):707-709. doi: 10.1038/nmeth.4295. Epub 2017 May 15.

Abstract

When comparing biological conditions using mass cytometry data, a key challenge is to identify cellular populations that change in abundance. Here, we present a computational strategy for detecting 'differentially abundant' populations by assigning cells to hyperspheres, testing for significant differences between conditions and controlling the spatial false discovery rate. Our method (http://bioconductor.org/packages/cydar) outperforms other approaches in simulations and finds novel patterns of differential abundance in real data.

MeSH terms

  • Computer Simulation
  • Flow Cytometry / methods*
  • Image Processing, Computer-Assisted / methods*
  • Software*