https://github.com/danymukesha/neuro.gen.predict

A Genetic Risk Assessment Tool for Alzheimer's Disease.

https://github.com/danymukesha/neuro.gen.predict

Science Score: 26.0%

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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
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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

  1. Clone or create the project directory.
  2. 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

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Dependencies

setup.py pypi
  • matplotlib *
  • numpy *
  • pandas *
  • scikit-learn *
  • seaborn *
  • streamlit *