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Deep Learning Explains the Biology of Branched Glycans from Single-Cell Sequencing Data

Rui Qin, Lara K. Mahal, Daniel Bojar
doi: https://doi.org/10.1101/2022.06.27.497708

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doi 
https://doi.org/10.1101/2022.06.27.497708
History 
  • June 29, 2022.
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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. It is made available under a CC-BY-NC-ND 4.0 International license.

Author Information

  1. Rui Qin1,
  2. Lara K. Mahal1 and
  3. Daniel Bojar2,3,4,*
  1. 1Department of Chemistry; University of Alberta; Edmonton, Alberta, T6G 2G2; Canada
  2. 2Department of Chemistry and Molecular Biology; University of Gothenburg; Gothenburg, 405 30; Sweden
  3. 3Wallenberg Centre for Molecular and Translational Medicine; University of Gothenburg; Gothenburg, 405 30; Sweden
  1. ↵*Correspondence: daniel.bojar{at}gu.se
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Posted June 29, 2022.
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Deep Learning Explains the Biology of Branched Glycans from Single-Cell Sequencing Data
Rui Qin, Lara K. Mahal, Daniel Bojar
bioRxiv 2022.06.27.497708; doi: https://doi.org/10.1101/2022.06.27.497708
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