New Results

Depth normalization for single-cell genomics count data

A. Sina Booeshaghi, Ingileif B. Hallgrímsdóttir, Ángel Gálvez-Merchán, Lior Pachter
doi: https://doi.org/10.1101/2022.05.06.490859

Article Information

doi 
https://doi.org/10.1101/2022.05.06.490859
History 
  • May 6, 2022.
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 4.0 International license.

Author Information

  1. A. Sina Booeshaghi1,
  2. Ingileif B. Hallgrímsdóttir2,
  3. Ángel Gálvez-Merchán2 and
  4. Lior Pachter2,3,*
  1. 1Department of Mechanical Engineering, California Institute of Technology, Pasadena, CA
  2. 2Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA
  3. 3Department of Computing and Mathematical Sciences, Pasadena, CA
  1. ↵*Address correspondence to: lpachter{at}caltech.edu
Back to top
Posted May 06, 2022.
Download PDF

Supplementary Material

Data/Code
Email
Depth normalization for single-cell genomics count data
A. Sina Booeshaghi, Ingileif B. Hallgrímsdóttir, Ángel Gálvez-Merchán, Lior Pachter
bioRxiv 2022.05.06.490859; doi: https://doi.org/10.1101/2022.05.06.490859
Reddit logo Twitter logo Facebook logo LinkedIn logo Mendeley logo
Citation Tools

Subject Area