Detection of differentially abundant cell subpopulations in scRNA-seq data

• Published in: Proceedings of the National Academy of Sciences - PNAS Vol. 118; no. 22; pp. 1 - 12
• Main Authors: Zhao, Jun, Jaffe, Ariel, Li, Henry, Lindenbaum, Ofir, Sefik, Esen, Jackson, Ruaidhrí, Cheng, Xiuyuan, Flavell, Richard A., Kluger, Yuval
• Format: Journal Article
• Language: English
• Published: United States National Academy of Sciences 01.06.2021
• Subjects: Aging; Biological Sciences; Clustering; Computational neuroscience; COVID-19; Embryogenesis; Embryonic growth stage; Gene sequencing; Immune checkpoint; Multiscale analysis; Phenotypes; Subpopulations; Transcriptomics; RNA-seq; local differential abundance; single cell

Comprehensive and accurate comparisons of transcriptomic distributions of cells from samples taken from two different biological states, such as healthy versus diseased individuals, are an emerging challenge in single-cell RNA sequencing (scRNA-seq) analysis. Current methods for detecting differenti...