/ORANGE

Attempting to find a correlation between human genomics/proteomics and aging, using machine learning.

Primary LanguagePythonMIT LicenseMIT

organage

A package to estimate organ-specific biological age using aging models trained on SomaScan plasma proteomics data (Oh and Rutledge et al. Nature 2023 https://doi.org/10.1038/s41586-023-06802-1)

System requirements

Hardware requirements

organage package requires only a standard computer with enough RAM to support the in-memory operations.

Software requirements

OS Requirements

This package is supported for macOS and Linux. The package has been tested on the following systems:

  • maxOS 11.7.1
  • Linux: CentOS 7.x

Python dependencies

  • python>=3.9 and <=3.10
  • dill>=0.3.6
  • pandas>=1.5.3
  • scikit-learn==1.0.2. aging models were trained using this specific version of scikit-learn

Installation

$ pip install organage

Usage

  • see docs/Predict organage example.ipynb

License

organage was created by Hamilton Oh. It is licensed under the terms of the MIT license.

Credits

organage was created with cookiecutter and the py-pkgs-cookiecutter template.