https://github.com/saezlab/kinase_tf_mini_tuto
This is a short tutorial to show in parallel how to estimate TF and kinase activities from transcriptomic and phosphoproteomic data
https://github.com/saezlab/kinase_tf_mini_tuto
Last synced: over 1 year ago
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This is a short tutorial to show in parallel how to estimate TF and kinase activities from transcriptomic and phosphoproteomic data
- Host: GitHub
- URL: https://github.com/saezlab/kinase_tf_mini_tuto
- Owner: saezlab
- License: gpl-3.0
- Created: 2021-06-07T14:57:01.000Z (about 5 years ago)
- Default Branch: main
- Last Pushed: 2023-04-27T13:05:24.000Z (about 3 years ago)
- Last Synced: 2025-03-28T05:51:01.217Z (over 1 year ago)
- Language: R
- Homepage: https://saezlab.github.io/kinase_tf_mini_tuto/
- Size: 6.16 MB
- Stars: 3
- Watchers: 3
- Forks: 3
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Kinase and TF mini tutorial
Vignette here: https://github.com/saezlab/kinase_tf_mini_tuto/tree/main#:~:text=saezlab.github.io/kinase_tf_mini_tuto/
# simple version
IF you are having trouble with workflowr or Renv, or don't have R 4.1, you can use the simple version of the tutorial here: https://github.com/saezlab/kinase_tf_mini_tuto_simple