A Compositional Model To Assess Expression Changes From Single-Cell RNA-Seq Data
Xiuyu Ma, Keegan D. Korthauer, Christina M. Kendziorski, Michael A. Newton
The paper introduces an empirical Bayesian mixture model to detect distributional expression changes in single-cell RNA-seq data, showing improved sensitivity over standard approaches.
The Annals of Applied Statistics · Jun 1, 2021Peer-reviewedBioinformatics