ATL Lun, AC Richard, JC Marioni
Journal name: 
Nat Methods
Citation info: 
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 ( outperforms other approaches in simulations and finds novel patterns of differential abundance in real data.
Research group: 
Marioni Group
E-pub date: 
31 Jul 2017
Users with this publication listed: 
Aaron Lun
Arianne Richard
John Marioni