ScMRMA: single cell multiresolution marker-based annotation. Issue 2 (14th October 2021)

• Record Type: Journal Article
• Authors: Li, Jia; Sheng, Quanhu; Shyr, Yu; Liu, Qi
• Is Part Of: Nucleic acids research. Volume 50:Issue 2(2022)
• Page Start: e7
• Page End: e7
• Publication Date: 2021-10-14
• Subjects: Nucleic acids -- Periodicals; Molecular biology -- Periodicals; 572.805
• DOI: 10.1093/nar/gkab931
• Languages: English
• ISSNs: 0305-1048

Abstract

Abstract: Single-cell RNA sequencing has become a powerful tool for identifying and characterizing cellular heterogeneity. One essential step to understanding cellular heterogeneity is determining cell identities. The widely used strategy predicts identities by projecting cells or cell clusters unidirectionally against a reference to find the best match. Here, we develop a bidirectional method, scMRMA, where a hierarchical reference guides iterative clustering and deep annotation with enhanced resolutions. Taking full advantage of the reference, scMRMA greatly improves the annotation accuracy. scMRMA achieved better performance than existing methods in four benchmark datasets and successfully revealed the expansion of CD8 T cell populations in squamous cell carcinoma after anti-PD-1 treatment.