https://github.com/anbai106/magic
MAGIC: Multi-scAle heteroGeneity analysIs and Clustering
Science Score: 23.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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○codemeta.json file
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○.zenodo.json file
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✓DOI references
Found 4 DOI reference(s) in README -
✓Academic publication links
Links to: sciencedirect.com -
○Committers with academic emails
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (8.7%) to scientific vocabulary
Repository
MAGIC: Multi-scAle heteroGeneity analysIs and Clustering
Basic Info
- Host: GitHub
- Owner: anbai106
- License: mit
- Language: Python
- Default Branch: master
- Homepage: https://anbai106.github.io/MAGIC/
- Size: 729 KB
Statistics
- Stars: 13
- Watchers: 2
- Forks: 2
- Open Issues: 1
- Releases: 0
Metadata Files
README.md
MAGIC
Multi-scAle heteroGeneity analysIs and Clustering
MAGIC
MAGIC, Multi-scAle heteroGeneity analysIs and Clustering, is a multi-scale semi-supervised clustering method that aims to derive robust clustering solutions across different scales for brain diseases.
:warning: The documentation of this software is currently under development
Citing this work
:warning: Please let me know if you use this package for your publication; I will update your papers in the section of Publication using MAGIC...
:warning: Please cite the software using the Cite this repository button on the right sidebar menu, as well as the original papers below ...
Original papers
Wen J., Varol E., Chand G., Sotiras A., Davatzikos C. (2020) MAGIC: Multi-scale Heterogeneity Analysis and Clustering for Brain Diseases. Medical Image Computing and Computer Assisted Intervention – MICCAI 2020. MICCAI 2020. Lecture Notes in Computer Science, vol 12267. Springer, Cham. https://doi.org/10.1007/978-3-030-59728-3_66
Wen J., Varol E., Chand G., Sotiras A., Davatzikos C. (2022) Multi-scale semi-supervised clustering of brain images: Deriving disease subtypes. Medical Image Analysis, 2022. https://doi.org/10.1016/j.media.2021.102304 - Link
Owner
- Name: Junhao (Hao) WEN
- Login: anbai106
- Kind: user
- Location: NYC
- Company: Columbia University
- Website: www.junhaowen.com
- Twitter: JunhaoWen
- Repositories: 10
- Profile: https://github.com/anbai106
Medical Imaging Analysis, AI/ML, Multi-omics, Multi-organ
GitHub Events
Total
- Watch event: 3
Last Year
- Watch event: 3
Committers
Last synced: over 3 years ago
All Time
- Total Commits: 19
- Total Committers: 2
- Avg Commits per committer: 9.5
- Development Distribution Score (DDS): 0.105
Top Committers
| Name | Commits | |
|---|---|---|
| anbai106 | a****6@h****m | 17 |
| Junhao WEN | j****9@g****m | 2 |
Issues and Pull Requests
Last synced: 11 months ago
All Time
- Total issues: 0
- Total pull requests: 1
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Total issue authors: 0
- Total pull request authors: 1
- Average comments per issue: 0
- Average comments per pull request: 0.0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 1
Past Year
- Issues: 0
- Pull requests: 1
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 1
- Average comments per issue: 0
- Average comments per pull request: 0.0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 1
Top Authors
Issue Authors
Pull Request Authors
- dependabot[bot] (2)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
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Total downloads:
- pypi 14 last-month
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 3
- Total maintainers: 1
pypi.org: magiccluster
Multi-scale semi-supervised clustering
- Homepage: https://github.com/anbai106/MAGIC
- Documentation: https://magiccluster.readthedocs.io/
- License: MIT License
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Latest release: 0.0.3
published almost 3 years ago
Rankings
Maintainers (1)
Dependencies
- nibabel *
- numpy *
- pandas *
- scikit-learn ==0.21.3