Open source pipeline which allows to identify complex relationships in large datasets.
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MICtools is an open source pipeline which combines the TIC_e and MIC_e measures into a two-step procedure that allows to identify relationships of various degrees of complexity in large datasets. TIC_e is used to perform efficiently a high throughput screening of all the possible pairwise relationships assessing their significance, while MIC_e is used to rank the subset of significant associations on the bases of their strength. Homepage: https://github.com/minepy/mictools.
This image includes Python 3 and minepy.
Download the latest version:
docker pull minepy/mictools
Run an instance of the image, mounting the host working directory
(e.g. /Users/davide/mictools) on to the container working directory
/mictools:
docker run --rm -t -i -v /Users/davide/mictools:/mictools -w /mictools minepy/mictools /bin/bash
You need to write something like -v //c/Users/davide/mictools:/mictools if
you are in Windows or -v /home/davide/mictools:/mictools in Linux. The
--rm option automatically removes the container when it exits.
Run mictools without parameters:
root@68f6784e1101:/mictools# mictools
Content type
Image
Digest
Size
343.3 MB
Last updated
about 6 years ago
docker pull minepy/mictools