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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
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
Ruyue Xin
cSchool of Systems Science, Beijing Normal University, Beijing, 100875, China
Jiang Zhang
cSchool of Systems Science, Beijing Normal University, Beijing, 100875, China
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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Posted May 21, 2019.
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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