https://github.com/jostmey/maxsnippetmodelovarian
Statistical classifier for diagnosing ovarian cancer from immune repertoires
https://github.com/jostmey/maxsnippetmodelovarian
cancer immune-repertoires machine-learning multiple-instance-learning t-cell-receptor
Last synced: 12 months ago
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Statistical classifier for diagnosing ovarian cancer from immune repertoires
- Host: GitHub
- URL: https://github.com/jostmey/maxsnippetmodelovarian
- Owner: jostmey
- License: other
- Created: 2020-01-17T02:16:38.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2022-10-02T19:51:25.000Z (almost 4 years ago)
- Last Synced: 2025-03-18T18:59:45.702Z (over 1 year ago)
- Topics: cancer, immune-repertoires, machine-learning, multiple-instance-learning, t-cell-receptor
- Language: Python
- Homepage: https://doi.org/10.1371/journal.pone.0229569
- Size: 4.2 MB
- Stars: 1
- Watchers: 2
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
[*Click here for our improved statistical classifier for immune repertoires*](https://github.com/jostmey/msm)
# MaxSnippetModelOvarian
Preliminary statistical classifier for diagnosing ovarian cancer from immune repertoires