New Results

Identification of transcriptional signatures for cell types from single-cell RNA-Seq

Vasilis Ntranos, Lynn Yi, Páll Melsted, Lior Pachter
doi: https://doi.org/10.1101/258566

Article Information

doi 
https://doi.org/10.1101/258566
History 
  • February 14, 2018.

Article Versions

Copyright 
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. Vasilis Ntranos1,2,^,
  2. Lynn Yi3,4,^,
  3. Páll Melsted5 and
  4. Lior Pachter4,6,*
  1. 1Department of Electrical Engineering & Computer Science, UC Berkeley, Berkeley, CA
  2. 2Department of Electrical Engineering, Stanford University, CA
  3. 3UCLA-Caltech Medical Science Training Program, Los Angeles, CA
  4. 4Division of Biology and Biological Engineering, Caltech, Pasadena, CA
  5. 5Faculty of Industrial Engineering, Mechanical Engineering and Computer Science, University of Iceland, Reykjavík, Iceland
  6. 6Department of Computing and Mathematical Sciences, Caltech, Pasadena, CA
  1. ↵^ Authors contributed equally
  2. ↵* Address correspondence to Lior Pachter (lpachter{at}caltech.edu)
Back to top
Posted February 14, 2018.
Download PDF

Supplementary Material

Email
Identification of transcriptional signatures for cell types from single-cell RNA-Seq
Vasilis Ntranos, Lynn Yi, Páll Melsted, Lior Pachter
bioRxiv 258566; doi: https://doi.org/10.1101/258566
Digg logo Reddit logo Twitter logo Facebook logo Google logo LinkedIn logo Mendeley logo
Citation Tools

Subject Area