Integrating prior knowledge of pathway-level information can enhance power and facilitate interpretation of gene expression data analyses. Here, we provide a practical demonstration of the value of gene set or pathway enrichment testing and extend such techniques to identify and characterize transcriptional subpopulations from single-cell RNA-sequencing data using pathway and gene set overdispersion analysis (PAGODA).
