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https://github.com/saeyslab/nichenetr
NicheNet: predict active ligand-target links between interacting cells
https://github.com/saeyslab/nichenetr
cell-cell-communication data-integration gene-expression intercellular-communication ligand-receptor ligand-target network-inference rna-seq single-cell-omics single-cell-rna-seq
Last synced: about 2 months ago
JSON representation
NicheNet: predict active ligand-target links between interacting cells
- Host: GitHub
- URL: https://github.com/saeyslab/nichenetr
- Owner: saeyslab
- Created: 2018-02-05T09:58:45.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2024-08-01T15:55:07.000Z (about 2 months ago)
- Last Synced: 2024-08-01T17:05:23.789Z (about 2 months ago)
- Topics: cell-cell-communication, data-integration, gene-expression, intercellular-communication, ligand-receptor, ligand-target, network-inference, rna-seq, single-cell-omics, single-cell-rna-seq
- Language: R
- Homepage:
- Size: 151 MB
- Stars: 459
- Watchers: 15
- Forks: 114
- Open Issues: 21
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Metadata Files:
- Readme: README.Rmd
Awesome Lists containing this project
- awesome-cell-cell-communication - NicheNet - [R]- NicheNet can study intercellular communication from a computational perspective. NicheNet uses human or mouse gene expression data of interacting cells as input and combines this with a prior model that integrates existing knowledge on ligand-to-target signaling paths. (Uncategorized / Uncategorized)