Benchmarking automated cell type annotation tools for single-cell ATAC-seq data

As single-cell chromatin accessibility profiling methods advance, scATAC-seq has become ever more important in the study of candidate regulatory genomic regions and their roles underlying developmental, evolutionary, and disease processes. At the same time, cell type annotation is critical in unders...

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Bibliographic Details

Published in:	Frontiers in Genetics
Main Authors:	Yuge Wang, Xingzhi Sun, Hongyu Zhao
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2022-12-01
Subjects:	label transfer scATAC-seq scRNA-seq machine learning benchmark
Online Access:	https://www.frontiersin.org/articles/10.3389/fgene.2022.1063233/full