Identification of cell subpopulations associated with disease phenotypes from scRNA-seq data using PACSI
Description
CONCLUSIONS: PACSI is an efficient method to identify cell subpopulations associated with disease phenotypes. Our research shows that it has a broad range of applications in revealing mechanistic and clinical insights of diseases.
