Accurate Annotation for Differentiating and Imbalanced Cell Types in Single-Cell Chromatin Accessibility Data-Reference-Cited by-同舟云学术

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Accurate Annotation for Differentiating and Imbalanced Cell Types in Single-Cell Chromatin Accessibility Data

Published:2024-05 Issue:3 Volume:21 Page:461-471
ISSN:1545-5963
Container-title:IEEE/ACM Transactions on Computational Biology and Bioinformatics
language:
Short-container-title:IEEE/ACM Trans. Comput. Biol. and Bioinf.

Author:

Jia Yuhang¹^ORCID,Li Siyu¹^ORCID,Jiang Rui²^ORCID,Chen Shengquan³^ORCID

Affiliation:

1. School of Statistics and Data Science, Nankai University, Tianjin, China

2. BNRIST/Department of Automation, MOE Key Laboratory of Bioinformatics and Bioinformatics Division, Tsinghua University, Beijing, China

3. School of Mathematical Sciences and LPMC, Nankai University, Tianjin, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Nankai University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/8857/10550082/10460166.pdf?arnumber=10460166

Reference31 articles.

1. Chromatin accessibility and the regulatory epigenome

2. Integrated Single-Cell Analysis Maps the Continuous Regulatory Landscape of Human Hematopoietic Differentiation

3. A Single-Cell Atlas of In Vivo Mammalian Chromatin Accessibility

4. Assessment of computational methods for the analysis of single-cell ATAC-seq data

5. Cell type annotation of single-cell chromatin accessibility data via supervised Bayesian embedding

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