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Fast, scalable and accurate differential expression analysis for single cells

Debarka Sengupta, Nirmala Arul Rayan, Michelle Lim, Bing Lim, Shyam Prabhakar
doi: https://doi.org/10.1101/049734

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doi 
https://doi.org/10.1101/049734
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  • April 22, 2016.
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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.

Author Information

  1. Debarka Sengupta1,
  2. Nirmala Arul Rayan1,
  3. Michelle Lim1,
  4. Bing Lim2^ and
  5. Shyam Prabhakar1,*
  1. 1Computational and Systems Biology, Genome Institute of Singapore, Singapore
  2. 2Cancer Stem Cell Biology, Genome Institute of Singapore, Singapore
  1. ↵*Correspondence may be addressed to: prabhakars{at}gis.a-star.edu.sg

  • ↵^ Present address: Merck Sharp and Dohme Translational Medicine Research Centre, Singapore

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Posted April 22, 2016.
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Fast, scalable and accurate differential expression analysis for single cells
Debarka Sengupta, Nirmala Arul Rayan, Michelle Lim, Bing Lim, Shyam Prabhakar
bioRxiv 049734; doi: https://doi.org/10.1101/049734
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