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A docker image for running MINE.

The maximal information coefficient (MIC) is a measure of two-variable dependence designed specifically for rapid exploration of many-dimensional data sets. MIC is part of a larger family of maximal information-based nonparametric exploration (MINE) statistics, which can be used not only to identify important relationships in data sets but also to characterize them.


The Docker image built by the Dockerfile is designed to be used by docker-pipeline.

MINE is installed in /opt. The image's default command,, is modeled after from YoderLab/MMAP.

Environment Variables

Variable Description Type Required? Default
CONT_INPUT_CSV_FILE CSV file containing the data Input Yes
CONT_OUTPUT_RESULTS_CSV_FILE Results in CSV format Output Yes
CONT_INPUT_COMPARE_STYLE variables to compare Parameter No -allPairs
CONT_INPUT_CV % which need data for both variables before variables are compared Parameter No 0
CONT_INPUT_EXP The exponent in the equation B(n) = nα Parameter No 0.6
CONT_INPUT_CLUMPS Clump Factor Parameter No 15
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