Article
Detection of differentially abundant cell subpopulations in scRNA-seq data.
Proceedings of the National Academy of Sciences of the United States of America - 1 Jun 2021
Zhao Jun, Jaffe Ariel, Li Henry, Lindenbaum Ofir, Sefik Esen, Jackson Ruaidhrí, Cheng Xiuyuan, Flavell Richard A, Kluger Yuval
Abstract excerpt
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 differentially abundant (DA) subpopulations between samples rely heavily on initial clustering of all cells in both samples....
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