Metadata-Version: 2.1
Name: ingranalyze
Version: 1.5.6
Summary: Influence graph analysis, consistency check, diagnosis, repair and prediction.
Home-page: http://bioasp.github.io/ingranalyze/
Author: Sven Thiele
Author-email: sthiele78@gmail.com
License: GPLv3+
Description: # Installation
        
        You can install ingranalyze by running:
        
            $ pip3 install --user ingranalyze
        
        On Linux the executable script can then be found in `~/.local/bin`
        
        and on MacOS the script is under `/Users/YOURUSERNAME/Library/Python/3.2/bin`.
        
        
        # 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][1] and [yeast_snf2.obs][2]
        
        [1]: http://bioasp.github.io/downloads/samples/yeastdata/yeast_guelzim.net
        [2]: http://bioasp.github.io/downloads/samples/yeastdata/yeast_snf2.obs
        
Platform: UNKNOWN
Description-Content-Type: text/markdown
