minepy - Maximal Information-based Nonparametric Exploration
Project description
minepy provides an ANSI C 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);
a C++ interface;
an efficient Python API;
an efficient MATLAB/OCTAVE API;
a command-line application similar to the original MINE.jar;
the minerva R interface is available at CRAN.
minepy is an open-source, GPLv3-licensed software.
Documentation
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.
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