Using single nucleotide variations in single-cell RNA-seq to identify subpopulations and genotype-phenotype linkage

Abstract

Identification of cell subpopulations using transcript abundance is noisy. Here, the authors developed a linear modeling framework, SSrGE, which utilizes effective and expressed nucleotide variations from single-cell RNA-seq to identify tumor subpopulations.