Metadata-Version: 2.1
Name: qbiome
Version: 0.0.50
Summary: Analyzing microbiome abundance data to infer deep structures
Home-page: https://github.com/zeroknowledgediscovery/qbiome
Author: zed.uchicago.edu
Author-email: ishanu@uchicago.edu
License: LICENSE
Download-URL: https://github.com/zeroknowledgediscovery/qbiome/archive/0.0.50.tar.gz
Description: ===============
        Qbiome
        ===============
        
        .. figure:: https://img.shields.io/pypi/dm/qbiome.svg
           :alt: qbiome PyPI Downloads
        .. figure:: https://img.shields.io/pypi/v/qbiome.svg
           :alt: qbiome curent version
        
        .. image:: http://zed.uchicago.edu/logo/qbiome.png
           :height: 300px
           :scale: 30 %
           :alt: qbiome logo
           :align: center
        
        .. class:: no-web no-pdf
        
        :Info: Draft link will be posted here
        :Author: ZeD@UChicago <zed.uchicago.edu>
        :Description: Application of quasinets (https://pypi.org/project/quasinet/) for microbiome analysis  for learning rules of organization, maturation, competition and succession in microbiome ecosystems. 
        :Documentation: https://zeroknowledgediscovery.github.io/qbiome/qbiome/index.html
        
        
        **Usage:**
        
        .. code-block::
        
            import qbiome
            from qbiome.data_formatter import DataFormatter
            from qbiome.quantizer import Quantizer
            from qbiome.qnet_orchestrator import QnetOrchestrator
            from qbiome.forecaster import Forecaster
        
        
        .. image:: https://github.com/zeroknowledgediscovery/qbiome/raw/main/images/img2.png
           :scale: 50 %
           :alt: alternate text
           :align: center 
        
Keywords: microbiome,decision trees,machine learning,computational biology
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Classifier: Topic :: Software Development :: Libraries
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.6
Requires-Python: >=3.6
Description-Content-Type: text/x-rst
