minepy 1.2.1

minepy - Maximal Information-based Nonparametric Exploration

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.

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Documentation

• Latest (github snapshot)
• 1.2.1 (stable, 17/08/23)
• 1.2.0 (stable, 16/10/27)
• 1.1.0 (stable, 16/05/10)
• 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
• Predictive Models for Biological and Environmental Data Analysis (MPBA) Research Unit at Fondazione Bruno Kessler