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Influence graph analysis, consistency check, diagnosis, repair and prediction.

Project description

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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