https://doi.org/10.7490/f1000research.1118047.1
Poster
NOT PEER REVIEWED
Download
metrics
VIEWS
353
 
downloads
21
CITE
How to cite this poster:
Ahlmann-Eltze C and Huber W. glmGamPoi: A new tool to fit the Gamma-Poisson fast and reliably on single cell data [version 1; not peer reviewed]. F1000Research 2020, 9:729 (poster) (https://doi.org/10.7490/f1000research.1118047.1)
NOTE: it is important to ensure the information in square brackets after the title is included in this citation.

glmGamPoi: A new tool to fit the Gamma-Poisson fast and reliably on single cell data

Author Affiliations
  • Metrics
  • 353 Views
  • 21 Downloads
 
Part of the gateway
Browse by related subjects
Published 20 Jul 2020

glmGamPoi: A new tool to fit the Gamma-Poisson fast and reliably on single cell data

[version 1; not peer reviewed]

Constantin Ahlmann-Eltze1, Wolfgang Huber
Author Affiliations
1 European Molecular Biology Laboratory, Germany
Presented at
Bioconductor Annual Conference 2020
Abstract
Competing Interests

No competing interests were disclosed

Keywords
R package, Genearlized Linear Model, Gamma-Poisson, Negative Binomial, Single Cell, RNA-seq, Counts, Bioconductor
Comments
0 Comments
 
Sign In
If you've forgotten your password, please enter your email address below and we'll send you instructions on how to reset your password.

The email address should be the one you originally registered with F1000.

Email address not valid, please try again

You registered with F1000 via Google, so we cannot reset your password.

To sign in, please click here.

If you still need help with your Google account password, please click here.

You registered with F1000 via Facebook, so we cannot reset your password.

To sign in, please click here.

If you still need help with your Facebook account password, please click here.

Code not correct, please try again
Email us for further assistance.
Server error, please try again.