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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

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doi 
https://doi.org/10.1101/506642
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  • May 21, 2019.

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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. All rights reserved. No reuse allowed without permission.

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  1. Lifei Wanga,b,
  2. Rui Niea,b,
  3. Ruyue Xinc,
  4. Jiang Zhangc,* and
  5. Jun Caia,b,*
  1. aKey Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China
  2. bUniversity of Chinese Academy of Sciences, Beijing, 100049, China
  3. cSchool of Systems Science, Beijing Normal University, Beijing, 100875, China
  1. ↵*Correspondence to: Jiang Zhang, E-mail: zhangjiang{at}bnu.edu.cn Jun Cai, E-mail: juncai{at}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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