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        "author": "Sergio Peignier, Pauline Schmitt",
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        "description": "# GReNaDIne: Gene Regulatory Network Data-driven Inference\n\nThis Python 3.7 package allows to infer Gene Regulatory Networks through several\nData-driven methods. Pre-processing and evaluation methods are also included.\n\n### Dependencies\n\n+ `pip install numpy` version 1.16.2\n+ `pip install pandas` version 0.24.2\n+ `pip install matplotlib` version 3.0.3\n+ `pip install joblib` version 0.13.2\n+ `pip install Cython` version 0.29.6\n+ `pip install sklearn` version 0.20.3\n+ `pip install pandas` version 0.24.2\n+ `pip install pot` version 0.5.1\nPOT is not included in the automatic dependencies install\nYou have to install it if you want to use columns_matrix_OT_norm() normalization function.\nThe other functions of the package do not need POT.\n+ `pip install rpy2` version 3.0.2\nrpy2 is not included in the automatic dependencies install\nYou have to install it if you want to use DEseq2() normalization function.\nThe other functions of the package do not need rpy2.\n\n### Installation:\n\n`pip install GReNaDIne`\n\n### Tutorials:\n\nCheck the jupyter notebook tutorials located in the __tutorial__ folder\n+ `Infer_dream5_E_coli_GRN_using_GENIE3.ipynb` to infer GRNs using the GENIE3 method (random forest regression)\n+ `Infer_dream5_E_coli_GRN_using_SVMs.ipynb` to infer GRNs using the SVM method (SVM classification)\n\n### Authors:\n\nFor bug reports and feedback do not hesitate to contact the authors\n\n+ [Sergio Peignier](sergio.peignier@insa-lyon.fr)\n+ [Pauline Schmitt](pauline.schmitt@insa-lyon.fr)\n\n### Maintainer:\n\n+ [Sergio Peignier](sergio.peignier@insa-lyon.fr)\n\n\n",
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