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Influence graph analysis, consistency check, diagnosis, repair and prediction
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bioasp/ingranalyze
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Installation ============ You can install ingranalyze by running:: $ pip install ingranalyze Usage ===== Typical usage is:: $ ingranalyze.py --mics --repair 5 networkfile observationfile For more options you can ask for help as follows: $ ingranalyze.py -h usage: ingranalyze.py [-h] [--mics] [--repair {1,2,3,4,5}] [--list_repairs] networkfile observationfile positional arguments: networkfile influence graph in bioquali format observationfile observations in bioquali format optional arguments: -h, --help show this help message and exit --mics compute minimal inconsistent cores --repair {1,2,3,4,5} choose repair method: 1 flip observed variations, 2 flip influences, 3 define network nodes as inputs, 4 define network nodes as input in an experiment (use only in case of multiple experiments), 5 add influences. default is 3 --list_repairs compute all minimal repair sets Samples ======= Sample files for yeast are available here: yeast_guelzim.net_ yeast_snf2.obs_ .. _yeast_guelzim.net: http://bioasp.github.io/downloads/samples/yeastdata/yeast_guelzim.net .. _yeast_snf2.obs: http://bioasp.github.io/downloads/samples/yeastdata/yeast_snf2.obs
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