Assessment of Machine Learning Methods for Classification in Single Cell ATAC-seq-Reference-Cited by-同舟云学术

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Assessment of Machine Learning Methods for Classification in Single Cell ATAC-seq

Published:2020-12-16 Issue: Volume: Page:
ISSN:
Container-title:2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
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Author:

Cui Zhe,Liu Bo,Juan Liran,Zang Tianyi,Jiang Tao,Wang Yadong

Funder

Research and Development

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9312958/9312977/09313138.pdf?arnumber=9313138

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Detecting novel cell type in single-cell chromatin accessibility data via open-set domain adaptation;Briefings in Bioinformatics;2024-07-25

2. Enhancement and Imputation of Peak Signal Enables Accurate Cell-Type Classification in scATAC-seq;Frontiers in Genetics;2021-04-06

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