MarcoPolo: a clustering-free approach to the exploration of differentially expressed genes along with group information in single-cell RNA-seq data
Chanwoo Kim, Hanbin Lee, Juhee Jeong, Keehoon Jung, Buhm Han
MarcoPolo identifies differentially expressed genes without clustering, improving reliability by directly learning group information from gene expression bimodality.
Nucleic Acids Research · Mar 22, 2022Peer-reviewedBioinformatics