New Results

scSemiProfiler: Advancing Large-scale Single-cell Studies through Semi-profiling with Deep Generative Models and Active Learning

Jingtao Wang, Gregory Fonseca, Jun Ding
doi: https://doi.org/10.1101/2023.11.20.567929

Article Information

doi 
https://doi.org/10.1101/2023.11.20.567929
History 
  • May 2, 2024.

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 4.0 International license.

Author Information

  1. Jingtao Wang1,2,#,
  2. Gregory Fonseca1,2,4,# and
  3. Jun Ding1,2,3,4,5,*
  1. 1Meakins-Christe Laboratories, Research Institute of McGill University Health Centre, 1001 Decarie Blvd, Montreal, H4A 3J1, Quebec, Canada
  2. 2Department of Medicine, Division of Experimental Medicine, McGill University, 1001 Decarie Blvd, Montreal, H4A 3J1, Quebec, Canada
  3. 3School of Computer Science, McGill University, 3480 Rue University, Montreal, H3A 2A7, Quebec, Canada
  4. 4Quantitative Life Sciences, McGill University, 845 Rue Sherbrooke Ouest, Montreal, H3A 0G4, Quebec, Canada
  5. 5Mila-Quebec AI Institute, 6666 Rue Saint-Urbain, Montreal, H2S 3H1, Quebec, Canada
  1. ↵*Corresponding author(s). E-mail(s): jun.ding{at}mcgill.ca
Back to top
Posted May 02, 2024.
Download PDF

Supplementary Material

Data/Code
Email
scSemiProfiler: Advancing Large-scale Single-cell Studies through Semi-profiling with Deep Generative Models and Active Learning
Jingtao Wang, Gregory Fonseca, Jun Ding
bioRxiv 2023.11.20.567929; doi: https://doi.org/10.1101/2023.11.20.567929
Twitter logo Facebook logo LinkedIn logo Mendeley logo
Citation Tools

Subject Area