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scCapsNet: a deep learning classifier with the capability of interpretable feature extraction, applicable for single cell RNA data analysis

Lifei Wang, Rui Nie, Ruyue Xin, Jiang Zhang, Jun Cai
doi: https://doi.org/10.1101/506642
Lifei Wang
aKey Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China
bUniversity of Chinese Academy of Sciences, Beijing, 100049, China
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Rui Nie
aKey Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China
bUniversity of Chinese Academy of Sciences, Beijing, 100049, China
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Ruyue Xin
cSchool of Systems Science, Beijing Normal University, Beijing, 100875, China
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Jiang Zhang
cSchool of Systems Science, Beijing Normal University, Beijing, 100875, China
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  • For correspondence: zhangjiang@bnu.edu.cn juncai@big.ac.cn
Jun Cai
aKey Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China
bUniversity of Chinese Academy of Sciences, Beijing, 100049, China
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  • For correspondence: zhangjiang@bnu.edu.cn juncai@big.ac.cn
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Posted May 21, 2019.
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scCapsNet: a deep learning classifier with the capability of interpretable feature extraction, applicable for single cell RNA data analysis
Lifei Wang, Rui Nie, Ruyue Xin, Jiang Zhang, Jun Cai
bioRxiv 506642; doi: https://doi.org/10.1101/506642
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scCapsNet: a deep learning classifier with the capability of interpretable feature extraction, applicable for single cell RNA data analysis
Lifei Wang, Rui Nie, Ruyue Xin, Jiang Zhang, Jun Cai
bioRxiv 506642; doi: https://doi.org/10.1101/506642

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