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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: 3 months ago
JSON representation
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
- Created: 2023-01-27T13:00:47.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2024-03-27T16:48:05.000Z (8 months ago)
- Last Synced: 2024-06-18T11:34:55.405Z (5 months ago)
- Language: HTML
- Size: 7.91 MB
- Stars: 2
- Watchers: 1
- Forks: 2
- Open Issues: 0
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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)