Metadata-Version: 2.1
Name: Ageas
Version: 0.0.1a6
Summary: AutoML-based Genomic fEatrue extrAction System
Home-page: https://github.com/nkmtmsys/Ageas
Author: nkmtmsys and JackSSK
Author-email: gyu17@alumni.jh.edu
License: UNKNOWN
Project-URL: Bug Tracker, https://github.com/nkmtmsys/Ageas/issues
Description: # AGEAS
        [![python 3.7](https://img.shields.io/badge/python-3.7-brightgreen)](https://www.python.org/)
        
        **AGEAS (AutoML-based Genomic fEatrue extrAction System)** is to find key genomic factors, including genes and regulatory pathways, in determining cellular phenotype.
        
        
        
        # Install
        
        [![shap-0.40.0](https://img.shields.io/badge/shap-0.40.0-red)](http://github.com/slundberg/shap)
        [![scipy-1.8.0](https://img.shields.io/badge/scipy-1.8.0-orange)](https://github.com/scipy/scipy)
        [![torch-1.11.0](https://img.shields.io/badge/torch-1.11.0-yellow)](https://github.com/pytorch/pytorch)
        [![numpy-1.19.5](https://img.shields.io/badge/numpy-1.19.5-green)](https://github.com/numpy/numpy)
        [![pandas-1.4.2](https://img.shields.io/badge/pandas-1.4.2-blue)](https://github.com/pandas-dev/pandas)
        [![xgboost-1.6.0](https://img.shields.io/badge/xgboost-1.6.0-indigo)](https://github.com/dmlc/xgboost)
        [![netgraph-4.4.1](https://img.shields.io/badge/netgraph-4.4.1-violet)](https://github.com/paulbrodersen/netgraph)
        [![networkx-2.8.1](https://img.shields.io/badge/networkx-2.8.1-black)](https://github.com/networkx/networkx)
        [![matplotlib-3.5.2](https://img.shields.io/badge/matplotlib-3.5.2-silver)](https://github.com/matplotlib/matplotlib)
        [![sklearn-1.0.2](https://img.shields.io/badge/sklearn-1.0.2-gold)](https://github.com/scikit-learn/scikit-learn)
        
        
        Ageas can be installed from [PyPI](https://pypi.org/project/Ageas/):
        
        <pre>
        pip install ageas
        </pre>
        
        
        # Tutorial
        
        Please visit [Documentation Page](https://nkmtmsys.github.io/Ageas/) for detailed API documentations and examples
        
        # Contributors
        
        + Jack Yu (JackSSK)
        + Masayoshi Nakamoto (nkmtmsys)
        
        
        
        # Disclaimer
        
        Further developed from [Odysseia Project](https://www.biorxiv.org/content/10.1101/2022.02.17.480852v1)
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
