https://github.com/SysBioOncology/RaCInG

The random graph model to infer cell-cell communication networks based on bulk RNA-seq data. Contains the code used for the "Mathematically mapping the network of cells in the tumor microenvironment" paper.
https://github.com/SysBioOncology/RaCInG

Last synced: 23 days ago
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The random graph model to infer cell-cell communication networks based on bulk RNA-seq data. Contains the code used for the "Mathematically mapping the network of cells in the tumor microenvironment" paper.

• Host: GitHub
• URL: https://github.com/SysBioOncology/RaCInG
• Owner: SysBioOncology
• License: apache-2.0
• Created: 2023-01-27T13:00:47.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2025-01-22T13:27:49.000Z (4 months ago)
• Last Synced: 2025-01-22T14:27:34.318Z (4 months ago)
• Language: HTML
• Size: 7.91 MB
• Stars: 4
• Watchers: 1
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

• awesome-cell-cell-communication - RaCInG - [python]- RaCInG used patient specific bulk RNA-seq input together with non-patient specific prior knowledge on possible ligand-receptor interactions to reconstruct cell-cell interaction networks in an indivudal patient's tumour. (Uncategorized / Uncategorized)