{ "info": { "author": "Sven Thiele", "author_email": "sthiele78@gmail.com", "bugtrack_url": null, "classifiers": [], "description": "# Installation\n\nYou can install exdesi by running:\n\n > pip install --user exdesi\n\nOn Linux the executable scripts can then be found in `~/.local/bin`\nand on MacOS the scripts are under `/Users/YOURUSERNAME/Library/Python/3.5/bin`.\n\n\n# Usage\n\nTypical usage is:\n\n > exdesi.py candidate_directory experimental_variables_file\n\nFor more options you can ask for help as follows::\n\n > exdesi.py -h\n usage: exdesi.py [-h] [--best_set BEST_SET] [-x EXCLUDE] networkfiles experivarfile\n\n positional arguments:\n networkfiles directory of influence graphs in SIF format\n experivarfile experimental variables\n\n optional arguments:\n -h, --help show this help message and exit\n --best_set BEST_SET compute best set of experiments maximal number of\n experiments, default is OFF, 0=unlimited\n -x EXCLUDE, --exclude EXCLUDE\n exclude experiments described in file EXCLUDE\n\n\n# Example\n\nSample files available in the [data][1] directory.\nA sample call would be:\n\n > exdesi.py in_silico_HEK293/candidates_round1/ in_silico_HEK293/expvars.txt -x in_silico_HEK293/exclude1.txt\n\n[1]: https://github.com/bioasp/exdesi/tree/master/data", "description_content_type": "text/markdown", "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "http://bioasp.github.io/exdesi/", "keywords": "", "license": "GPLv3+", "maintainer": "", "maintainer_email": "", "name": "exdesi", "package_url": "https://pypi.org/project/exdesi/", "platform": "", "project_url": "https://pypi.org/project/exdesi/", "project_urls": { "Homepage": "http://bioasp.github.io/exdesi/" }, "release_url": "https://pypi.org/project/exdesi/0.4/", "requires_dist": null, "requires_python": "", "summary": "Design experiments to differentiate interaction graph models.", "version": "0.4" }, "last_serial": 4884853, "releases": { "0.2": [], "0.3": [ { "comment_text": "", "digests": { "md5": "3108adcd77c2f17eba657fdfff15e5a5", "sha256": "56ef1e8c09fbb9ad2d1fa180dc164308dd2a243aa5092757755d8ebbb29d6a20" }, "downloads": -1, "filename": "exdesi-0.3.tar.gz", "has_sig": false, "md5_digest": "3108adcd77c2f17eba657fdfff15e5a5", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 22668, "upload_time": "2017-03-29T07:45:55", "url": "https://files.pythonhosted.org/packages/d0/5d/90b636505c623e4af2eb82765743037a770985820373438f92f11ab42e90/exdesi-0.3.tar.gz" } ], "0.4": [ { "comment_text": "", "digests": { "md5": "57066e15998db1baf3e3f2f30fef8f1b", "sha256": "5464f229221a8ffada314d8e9da883025af01ac7c35266bb808a0f43361d52c9" }, "downloads": -1, "filename": "exdesi-0.4.tar.gz", "has_sig": false, "md5_digest": "57066e15998db1baf3e3f2f30fef8f1b", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 22826, "upload_time": "2019-03-01T13:40:22", "url": "https://files.pythonhosted.org/packages/43/9d/b905c5b58eda9c81fce670b96cd755febce9d8db22dadb7db5a18d940071/exdesi-0.4.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "57066e15998db1baf3e3f2f30fef8f1b", "sha256": "5464f229221a8ffada314d8e9da883025af01ac7c35266bb808a0f43361d52c9" }, "downloads": -1, "filename": "exdesi-0.4.tar.gz", "has_sig": false, "md5_digest": "57066e15998db1baf3e3f2f30fef8f1b", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 22826, "upload_time": "2019-03-01T13:40:22", "url": "https://files.pythonhosted.org/packages/43/9d/b905c5b58eda9c81fce670b96cd755febce9d8db22dadb7db5a18d940071/exdesi-0.4.tar.gz" } ] }