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

Yuge Wang, Xingzhi Sun, Hongyu Zhao
doi: https://doi.org/10.1101/2022.10.05.511014

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doi 
https://doi.org/10.1101/2022.10.05.511014
History 
  • October 10, 2022.
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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.

Author Information

  1. Yuge Wang1,
  2. Xingzhi Sun2 and
  3. Hongyu Zhao1,3,*
  1. 1Department of Biostatistics, Yale School of Public Health, New Haven, CT, United States
  2. 2Department of Statistics and Data Science, Yale University, New Haven, CT, United States
  3. 3Program of Computational Biology and Bioinformatics, Yale University, New Haven, CT, United States
  1. ↵*Correspondence:
    Hongyu Zhao, hongyu.zhao{at}yale.edu
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Posted October 10, 2022.
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Benchmarking Automated Cell Type Annotation Tools for Single-cell ATAC-seq Data
Yuge Wang, Xingzhi Sun, Hongyu Zhao
bioRxiv 2022.10.05.511014; doi: https://doi.org/10.1101/2022.10.05.511014
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