Identification of cell subpopulations associated with disease phenotypes from scRNA-seq data using PACSI.

Chonghui LiuYan ZhangXin GaoGuohua Wang

Published in: BMC biology (2023)

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.

Keyphrases

single cell
cell therapy
genome wide
gene expression
mesenchymal stem cells
bone marrow
artificial intelligence
bioinformatics analysis