{ "info": { "author": "Davide Albanese", "author_email": "davide.albanese@gmail.com", "bugtrack_url": null, "classifiers": [ "Development Status :: 5 - Production/Stable", "Intended Audience :: Science/Research", "License :: OSI Approved :: GNU General Public License (GPL)", "Operating System :: OS Independent", "Programming Language :: C", "Programming Language :: C++", "Programming Language :: Cython", "Programming Language :: Other", "Programming Language :: Python", "Programming Language :: Python :: 2", "Programming Language :: Python :: 3" ], "description": "minepy - Maximal Information-based Nonparametric Exploration\n============================================================\n\n.. image:: https://travis-ci.org/minepy/minepy.png?branch=master\n :target: https://travis-ci.org/minepy/minepy\n\n.. image:: https://readthedocs.org/projects/minepy/badge/?version=latest\n :target: http://minepy.readthedocs.io/en/latest/?badge=latest\n :alt: Documentation Status\n\n.. image:: https://anaconda.org/bioconda/minepy/badges/version.svg\n :target: https://anaconda.org/bioconda/minepy\n\n.. image:: https://badge.fury.io/py/minepy.svg\n :target: https://badge.fury.io/py/minepy\n\nminepy provides a library for the Maximal Information-based\nNonparametric Exploration (**MIC** and **MINE family**). Key features:\n\n* **APPROX-MIC** (the original algorithm, DOI: 10.1126/science.1205438) and\n **MIC_e** (DOI: arXiv:1505.02213 and DOI: arXiv:1505.02214) estimators;\n* **Total Information Coefficient** (TIC, DOI: arXiv:1505.02213) and the\n **Generalized Mean Information Coefficient** (GMIC, DOI: arXiv:1308.5712);\n* an **ANSI C library**\n* a **C++** interface;\n* an efficient **Python API** (Python 2 and 3 compatibility);\n* an efficient **MATLAB/OCTAVE API**;\n\nminepy is an open-source, GPLv3-licensed software.\n\nThe `minerva` **R interface** is available at `CRAN\n`_.\n\n\nMICtools\n--------\nThe **`mine`** command-line application is deprecated since version 1.2.2.\nWe suggest to use MICtools, a comprehensive and effective pipeline for TICe and MICe\nanalysis. TICe is used to perform efficiently a high throughput\nscreening of all the possible pairwise relationships assessing their\nsignificance, while MICe is used to rank the subset of significant associations\non the bases of their strength. `Paper `_,\n`code and documentation `_. \n\nDocker image\n^^^^^^^^^^^^\n\nThe minepy library is preinstalled in the `MICtools Docker image `_.\n\nLinks\n-----\n\n* `Homepage and Documentation `_\n* `Download `_\n* `Github page `_\n* `Issues `_\n* `Old (version 1.0.0) documentation `_\n\n\nCiting minepy\n-------------\n\nDavide Albanese, Michele Filosi, Roberto Visintainer, Samantha Riccadonna,\nGiuseppe Jurman and Cesare Furlanello. minerva and minepy: a C engine for the\nMINE suite and its R, Python and MATLAB wrappers. Bioinformatics (2013)\n29(3): 407-408 first published online December 14, 2012\ndoi:10.1093/bioinformatics/bts707.\n\nFinancial Contributions\n^^^^^^^^^^^^^^^^^^^^^^^\n\n* `Computational Biology Unit - Research and Innnovation Center at Fondazione\n Edmund Mach `_\n* `Predictive Models for Biological and Environmental Data Analysis (MPBA)\n Research Unit at Fondazione Bruno Kessler `_", "description_content_type": "", "docs_url": null, "download_url": "http://minepy.readthedocs.io", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "http://minepy.readthedocs.io", "keywords": "", "license": "GPLv3", "maintainer": "Davide Albanese", "maintainer_email": "davide.albanese@gmail.com", "name": "minepy", "package_url": "https://pypi.org/project/minepy/", "platform": "", "project_url": "https://pypi.org/project/minepy/", "project_urls": { "Download": "http://minepy.readthedocs.io", "Homepage": "http://minepy.readthedocs.io" }, "release_url": 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