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GRNUlar: Gene Regulatory Network reconstruction using Unrolled algorithm from Single Cell RNA-Sequencing data

Harsh Shrivastava, View ORCID ProfileXiuwei Zhang, Srinivas Aluru, Le Song
doi: https://doi.org/10.1101/2020.04.23.058149
Harsh Shrivastava
1Department of Computational Science & Engineering, Georgia Institute of Technology, Atlanta, 30332, USA
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  • For correspondence: hshrivastava3@gatech.edu
Xiuwei Zhang
1Department of Computational Science & Engineering, Georgia Institute of Technology, Atlanta, 30332, USA
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  • ORCID record for Xiuwei Zhang
Srinivas Aluru
1Department of Computational Science & Engineering, Georgia Institute of Technology, Atlanta, 30332, USA
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Le Song
1Department of Computational Science & Engineering, Georgia Institute of Technology, Atlanta, 30332, USA
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Article Information

doi 
https://doi.org/10.1101/2020.04.23.058149
History 
  • April 25, 2020.
Copyright 
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.

Author Information

  1. Harsh Shrivastava1,*,
  2. Xiuwei Zhang1,
  3. Srinivas Aluru1 and
  4. Le Song1
  1. 1Department of Computational Science & Engineering, Georgia Institute of Technology, Atlanta, 30332, USA
  1. ↵*To whom correspondence should be addressed. hshrivastava3{at}gatech.edu
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Posted April 25, 2020.
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GRNUlar: Gene Regulatory Network reconstruction using Unrolled algorithm from Single Cell RNA-Sequencing data
Harsh Shrivastava, Xiuwei Zhang, Srinivas Aluru, Le Song
bioRxiv 2020.04.23.058149; doi: https://doi.org/10.1101/2020.04.23.058149
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GRNUlar: Gene Regulatory Network reconstruction using Unrolled algorithm from Single Cell RNA-Sequencing data
Harsh Shrivastava, Xiuwei Zhang, Srinivas Aluru, Le Song
bioRxiv 2020.04.23.058149; doi: https://doi.org/10.1101/2020.04.23.058149

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