Metadata-Version: 2.1
Name: GReNaDIne
Version: 0.0.1
Summary: Data-Driven Gene Regulatory Network Inference
Home-page: UNKNOWN
Author: Sergio Peignier, Pauline Schmitt
Author-email: sergio.peignier@insa-lyon.fr
License: UNKNOWN
Description: # GReNaDIne: Gene Regulatory Network Data-driven Inference
        
        This Python 3.7 package allows to infer Gene Regulatory Networks through several
        Data-driven methods. Pre-processing and evaluation methods are also included.
        
        ### Installation:
        
        `pip install GReNaDIne`
        
        ### Tutorials:
        
        Check the jupyter notebook tutorials located in the __tutorial__ folder
        + `Infer_dream5_E_coli_GRN_using_GENIE3.ipynb` to infer GRNs using the GENIE3 method (random forest regression)
        + `Infer_dream5_E_coli_GRN_using_SVMs.ipynb` to infer GRNs using the SVM method (SVM classification)
        
        ### Authors:
        
        For bug reports and feedback do not hesitate to contact the authors
        
        + [Sergio Peignier](sergio.peignier@insa-lyon.fr)
        + [Pauline Schmitt](pauline.schmitt@insa-lyon.fr)
        
        ### Maintainer:
        
        + [Sergio Peignier](sergio.peignier@insa-lyon.fr)
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: GNU General Public License (GPL)
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
