Author

Xingzhi Sun

Yale University

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Biology Disciplines

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Bioinformatics· 1

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Approach:benchmark study· 1 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Organism:human· 1 Organism:mouse· 1 Assay:scATAC-seq· 1 Approach:statistical model· 1

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Hongyu ZhaoiD· 1 shared Yuge WangiD· 1 shared

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2022-2022 · peak 1/yr

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1 shared paperBioinformatics

Hongyu ZhaoORCID

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1 paper

Recent·Most cited

BioinformaticsFrontiers in GeneticsPeer-reviewedDec 13, 2022

Benchmarking Automated Cell Type Annotation Tools for Single-cell ATAC-seq Data

Yuge Wang, Xingzhi Sun, Hongyu Zhao

This study benchmarks five automated cell type annotation methods for scATAC-seq data using mouse and human datasets, finding Bridge integration as the most accurate and robust method.

10 citations

mousehuman

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