Design experiments to differentiate interaction graph models.
You can install exdesi by running:
> pip install --user exdesi
On Linux the executable scripts can then be found in
and on MacOS the scripts are under
Typical usage is:
> exdesi.py candidate_directory experimental_variables_file
For more options you can ask for help as follows::
> exdesi.py -h usage: exdesi.py [-h] [--best_set BEST_SET] [-x EXCLUDE] networkfiles experivarfile positional arguments: networkfiles directory of influence graphs in SIF format experivarfile experimental variables optional arguments: -h, --help show this help message and exit --best_set BEST_SET compute best set of experiments maximal number of experiments, default is OFF, 0=unlimited -x EXCLUDE, --exclude EXCLUDE exclude experiments described in file EXCLUDE
Sample files available in the data directory. A sample call would be:
> exdesi.py in_silico_HEK293/candidates_round1/ in_silico_HEK293/expvars.txt -x in_silico_HEK293/exclude1.txt
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
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