https://github.com/danymukesha/neuro.gen.predict
A Genetic Risk Assessment Tool for Alzheimer's Disease.
Science Score: 26.0%
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○Scientific vocabulary similarity
Low similarity (7.1%) to scientific vocabulary
Last synced: 9 months ago
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Repository
A Genetic Risk Assessment Tool for Alzheimer's Disease.
Basic Info
- Host: GitHub
- Owner: danymukesha
- Language: Python
- Default Branch: main
- Size: 22.5 KB
Statistics
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
- Releases: 0
Created 10 months ago
· Last pushed 10 months ago
Metadata Files
Readme
README.md
NeuroGenPredict
A Genetic Risk Assessment Tool for Alzheimer's Disease.
Installation
- Clone or create the project directory.
- Run
pip install -e .to install the package.
Usage
- Generate example data:
python examples/generate_example_data.py - Train and predict via CLI:
python examples/train_and_predict.py - Run the web app:
streamlit run app.py
Data Format
- Genotype CSV: Rows = samples, columns = variants (e.g., 'APOE_e4'), values = 0/1/2.
- Labels CSV: Column 'label' with 0 (control)/1 (AD case).
- Clinical CSV (optional): Columns like 'age', 'sex', 'education_years'.
For real data, obtain from public repositories like NIAGADS (requires approval). Simulated data is for demo only.
Nest Steps
- The tool uses your ensemble method for innovation.
- Validate on real datasets you acquire.
- Extend as needed (e.g., add VCF parsing).
Author: Dany Mukesha
Owner
- Name: Dany Mukesha
- Login: danymukesha
- Kind: user
- Location: Rome, Italy
- Website: danymukesha.github.io
- Repositories: 1
- Profile: https://github.com/danymukesha
GitHub Events
Total
- Push event: 3
- Create event: 1
Last Year
- Push event: 3
- Create event: 1
Dependencies
setup.py
pypi
- matplotlib *
- numpy *
- pandas *
- scikit-learn *
- seaborn *
- streamlit *