https://github.com/altschulerwu-lab/muse
MUSE is a deep learning approach characterizing tissue composition through combined analysis of morphologies and transcriptional states for spatially resolved transcriptomics data.
https://github.com/altschulerwu-lab/muse
clustering data-integration deep-learning multi-modal-analysis single-cell-ananlysis spatial-transcriptomics tensorflow
Last synced: 27 days ago
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MUSE is a deep learning approach characterizing tissue composition through combined analysis of morphologies and transcriptional states for spatially resolved transcriptomics data.
- Host: GitHub
- URL: https://github.com/altschulerwu-lab/muse
- Owner: AltschulerWu-Lab
- License: mit
- Created: 2020-08-31T15:56:27.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2022-05-10T07:54:19.000Z (over 3 years ago)
- Last Synced: 2025-09-24T23:02:07.491Z (4 months ago)
- Topics: clustering, data-integration, deep-learning, multi-modal-analysis, single-cell-ananlysis, spatial-transcriptomics, tensorflow
- Language: Jupyter Notebook
- Homepage:
- Size: 153 MB
- Stars: 35
- Watchers: 5
- Forks: 10
- Open Issues: 0
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Metadata Files:
- Readme: README.html
- License: LICENSE