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A novel metric reveals previously unrecognized distortion in dimensionality reduction of scRNA-Seq data

Shamus M. Cooley, Timothy Hamilton, J. Christian J. Ray, Eric J. Deeds
doi: https://doi.org/10.1101/689851

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doi 
https://doi.org/10.1101/689851
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  • September 28, 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. It is made available under a CC-BY-NC-ND 4.0 International license.

Author Information

  1. Shamus M. Cooley1,3,4,
  2. Timothy Hamilton2,3,
  3. J. Christian J. Ray4,5,* and
  4. Eric J. Deeds2,3,4,*
  1. 1Interdepartmental Program for Bioinformatics, University of California – Los Angeles
  2. 2Department of Integrative Biology and Physiology, University of California – Los Angeles
  3. 3Institute for Quantitative and Computational Biosciences, University of California – Los Angeles
  4. 4Center for Computational Biology, University of Kansas – Lawrence
  5. 5Department of Molecular Biosciences, University of Kansas – Lawrence
  1. ↵*Corresponding authors: EJD (deeds{at}ucla.edu) and JCJR (jjray{at}ku.edu).
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Posted September 28, 2020.
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A novel metric reveals previously unrecognized distortion in dimensionality reduction of scRNA-Seq data
Shamus M. Cooley, Timothy Hamilton, J. Christian J. Ray, Eric J. Deeds
bioRxiv 689851; doi: https://doi.org/10.1101/689851
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