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https://github.com/xryanglab/DeepLinc
De novo reconstruction of cell interaction landscapes from single-cell spatial transcriptome data
https://github.com/xryanglab/DeepLinc
Last synced: about 2 months ago
JSON representation
De novo reconstruction of cell interaction landscapes from single-cell spatial transcriptome data
- Host: GitHub
- URL: https://github.com/xryanglab/DeepLinc
- Owner: xryanglab
- License: mit
- Created: 2021-09-22T13:44:08.000Z (almost 3 years ago)
- Default Branch: main
- Last Pushed: 2022-10-11T03:18:46.000Z (almost 2 years ago)
- Last Synced: 2024-06-18T13:49:31.082Z (3 months ago)
- Language: Python
- Size: 7.32 MB
- Stars: 14
- Watchers: 4
- Forks: 7
- Open Issues: 5
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Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
- awesome-cell-cell-communication - DeepLinc - [python]- DeepLinc is a method for de novo reconstruction of cell interaction networks from single-cell spatial transcriptomic data based on a deep generative model of variational graph autoencoder (VGAE). (Uncategorized / Uncategorized)