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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, mine.sh, is modeled after run_MINE.py from YoderLab/MMAP.
| 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 |
Content type
Image
Digest
sha256:3309e507c…
Size
154 MB
Last updated
over 7 years ago
docker pull dukegcb/mine