Metadata-Version: 1.2
Name: minepy
Version: 1.2.6
Summary: minepy - Maximal Information-based Nonparametric Exploration
Home-page: http://minepy.readthedocs.io
Author: Davide Albanese
Author-email: davide.albanese@gmail.com
Maintainer: Davide Albanese
Maintainer-email: davide.albanese@gmail.com
License: GPLv3
Download-URL: http://minepy.readthedocs.io
Description: minepy - Maximal Information-based Nonparametric Exploration
        ============================================================
        
        .. image:: https://travis-ci.org/minepy/minepy.png?branch=master
          :target: https://travis-ci.org/minepy/minepy
        
        .. image:: https://readthedocs.org/projects/minepy/badge/?version=latest
          :target: http://minepy.readthedocs.io/en/latest/?badge=latest
          :alt: Documentation Status
        
        .. image:: https://anaconda.org/bioconda/minepy/badges/version.svg
          :target: https://anaconda.org/bioconda/minepy
        
        .. image:: https://badge.fury.io/py/minepy.svg
            :target: https://badge.fury.io/py/minepy
        
        minepy provides a library for the Maximal Information-based
        Nonparametric Exploration (**MIC** and **MINE family**). Key features:
        
        * **APPROX-MIC** (the original algorithm, DOI: 10.1126/science.1205438) and
          **MIC_e** (DOI: arXiv:1505.02213 and DOI: arXiv:1505.02214) estimators;
        * **Total Information Coefficient** (TIC, DOI: arXiv:1505.02213) and the
          **Generalized Mean Information Coefficient** (GMIC, DOI: arXiv:1308.5712);
        * an **ANSI C library**
        * a **C++** interface;
        * an efficient **Python API** (Python 2 and 3 compatibility);
        * an efficient **MATLAB/OCTAVE API**;
        
        minepy is an open-source, GPLv3-licensed software.
        
        The `minerva` **R interface** is available at `CRAN
        <https://cran.r-project.org/web/packages/minerva/index.html>`_.
        
        
        MICtools
        --------
        The **`mine`** command-line application is deprecated since version 1.2.2.
        We suggest to use MICtools, a comprehensive and effective pipeline for TICe and MICe
        analysis. TICe is used to perform efficiently a high throughput
        screening of all the possible pairwise relationships assessing their
        significance, while MICe is used to rank the subset of significant associations
        on the bases of their strength. `Paper <https://academic.oup.com/gigascience/article/7/4/giy032/4958979>`_,
        `code and documentation <https://github.com/minepy/mictools>`_. 
        
        Docker image
        ^^^^^^^^^^^^
        
        The minepy library is preinstalled in the `MICtools Docker image <https://hub.docker.com/r/minepy/mictools/>`_.
        
        Links
        -----
        
        * `Homepage and Documentation <http://minepy.readthedocs.io>`_
        * `Download <https://github.com/minepy/minepy/releases>`_
        * `Github page <https://github.com/minepy/minepy>`_
        * `Issues <https://github.com/minepy/minepy/issues>`_
        * `Old (version 1.0.0) documentation <http://minepy.sourceforge.net/docs/1.0.0/>`_
        
        
        Citing minepy
        -------------
        
        Davide Albanese, Michele Filosi, Roberto Visintainer, Samantha Riccadonna,
        Giuseppe Jurman and Cesare Furlanello. minerva and minepy: a C engine for the
        MINE suite and its R, Python and MATLAB wrappers.  Bioinformatics (2013)
        29(3): 407-408 first published online December 14, 2012
        doi:10.1093/bioinformatics/bts707.
        
        Financial Contributions
        ^^^^^^^^^^^^^^^^^^^^^^^
        
        * `Computational Biology Unit - Research and Innnovation Center at Fondazione
          Edmund Mach <http://www.fmach.it/eng>`_
        * `Predictive Models for Biological and Environmental Data Analysis (MPBA)
          Research Unit at Fondazione Bruno Kessler  <http://mpba.fbk.eu>`_
        
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: GNU General Public License (GPL)
Classifier: Programming Language :: C
Classifier: Programming Language :: C++
Classifier: Programming Language :: Cython
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Other
Classifier: Operating System :: OS Independent
