https://github.com/aalto-ics-kepaco/survivalfm-analysis
Science Score: 26.0%
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
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Academic publication links
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○Institutional organization owner
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○Scientific vocabulary similarity
Low similarity (2.3%) to scientific vocabulary
Last synced: 10 months ago
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JSON representation
Repository
Basic Info
- Host: GitHub
- Owner: aalto-ics-kepaco
- Language: R
- Default Branch: main
- Size: 31.3 KB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 1
Created over 1 year ago
· Last pushed about 1 year ago
Metadata Files
Readme
README.md
survivalFM analysis codes
This repository contains analysis codes from: Heli Julkunen and Juho Rousu. "Machine learning for comprehensive interaction modelling improves disease risk prediction in UK Biobank" (2025).
The R package implementation of the survivalFM method is available on
Owner
- Name: KEPACO
- Login: aalto-ics-kepaco
- Kind: organization
- Location: Espoo, Finland
- Website: http://research.ics.aalto.fi/kepaco/
- Repositories: 29
- Profile: https://github.com/aalto-ics-kepaco
Kernel Machines, Pattern Analysis and Computational Metabolomics - Research group at Aalto University
GitHub Events
Total
- Release event: 1
- Delete event: 2
- Push event: 1
- Public event: 1
- Create event: 2
Last Year
- Release event: 1
- Delete event: 2
- Push event: 1
- Public event: 1
- Create event: 2