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AutoML-based Genetic regulatory Element extrAction System

Project description

AGEAS

python 3.8

AGEAS (AutoML-based Genetic regulatory Element extrAction System) is to find key genetic regulatory elements, including genes and regulatory pathways, in determining cellular phenotype.

Workflow Summary

Workflow

Install

shap-0.40.0 scipy-1.8.0 torch-1.11.0 numpy-1.19.5 pandas-1.4.2 xgboost-1.6.0 netgraph-4.4.1 networkx-2.8.1 matplotlib-3.5.2 sklearn-1.0.2

Ageas can be installed from PyPI:

pip install ageas

OR

git clone https://github.com/JackSSK/Ageas.git
cd Ageas
pip install .

Tutorial

Please visit Documentation Page for detailed API documentations and examples

Contributors

  • Jack Yu (JackSSK)
  • Masayoshi Nakamoto (nkmtmsys)

Disclaimer

Further developed from Odysseia Project

Project details


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Ageas-0.0.1a8.tar.gz (50.3 MB view details)

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