Skip to main content

Design experiments to differentiate interaction graph models.

Project description


You can install exdesi by running:

$ pip install --user exdesi

On Linux the executable scripts can then be found in ~/.local/bin and on MacOS the scripts are under /Users/YOURUSERNAME/Library/Python/3.2/bin.


Typical usage is:

$ candidate_directory experimental_variables_file

For more options you can ask for help as follows:

$ -h
usage: [-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:

$ in_silico_HEK293/candidates_round1/ in_silico_HEK293/expvars.txt -x in_silico_HEK293/exclude1.txt

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Filename, size & hash SHA256 hash help File type Python version Upload date
exdesi-0.3.tar.gz (22.7 kB) Copy SHA256 hash SHA256 Source None

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN SignalFx SignalFx Supporter DigiCert DigiCert EV certificate StatusPage StatusPage Status page