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Accurately Clustering Single-cell RNA-seq data by Capturing Structural Relations between Cells through Graph Convolutional Network

Yuansong Zeng, Xiang Zhou, Jiahua Rao, Yutong Lu, Yuedong Yang
doi: https://doi.org/10.1101/2020.09.02.278804

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doi 
https://doi.org/10.1101/2020.09.02.278804
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  • September 3, 2020.

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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. Yuansong Zeng1,
  2. Xiang Zhou1,
  3. Jiahua Rao1,
  4. Yutong Lu1,* and
  5. Yuedong Yang1,2,*,#
  1. 1School of Data and Computer Science, Sun Yat-sen University, Guangzhou 510000, China
  2. 2Key Laboratory of Machine Intelligence and Advanced Computing (Sun Yat-sen University), Ministry of Education, China
  1. ↵#Corresponding author; email: yangyd25{at}mail.sysu.edu.cn
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Posted September 03, 2020.
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Accurately Clustering Single-cell RNA-seq data by Capturing Structural Relations between Cells through Graph Convolutional Network
Yuansong Zeng, Xiang Zhou, Jiahua Rao, Yutong Lu, Yuedong Yang
bioRxiv 2020.09.02.278804; doi: https://doi.org/10.1101/2020.09.02.278804
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