Metadata-Version: 1.1
Name: gptwosample
Version: 0.1.16
Summary: 
    Differential expression detection between gene expression time series experiments with confounder correction and timehift detection.
    
Home-page: https://www.assembla.com/code/gptwosample/git/nodes
Author: Max Zwießele, Oliver Stegle
Author-email: ibinbei@gmail.com
License: Apache License v2.0
Description: Package for using GPTwoSample
        =============================
        
        This module allows the user to compare two timelines with respect to diffferential expression.
        
        It compares two timeseries against each other, depicting whether these two
        timeseries were more likely drawn from the same function, or from
        different ones. This prediction is defined by which covariance function :py:class:`pygp.covar` you use.
        
        To use gptwosample without installing:
        $ python gptwosample --help
        
        To install gptwosample run:
        $ easy_install gptwosample 
        or run::
        $ python setup.py install
        from gptwosample directory if you downloaded the source.
        This will install a script gptwosample into your python bin. In
        some cases this bin is not in $PATH and must be included extra.
        
        Try printing the full help of the script using::
         gptwosample --help
        restart your unix shell if it is not yet registered.
        
        To run optional package tests before installing run:
         python setup test
        
        After installation you can use GPTwoSample with all it's features.
        See doc/index.html for the documentation in your site-packages folder, see www.python.org for further details.
        
        Examples:
        Please see 'ready-to-use' example scripts in ./gptwosample/examples. (In your python site-packages folder, see www.python.org for further details)
        
        Example run:
        $ exdir=gptwosample/examples/
        $ gptwosample -vtpo toy $exdir/ToyCondition1.csv $exdir/ToyCondition2.csv
        
        To see for example GPTimeShift example, run
        
        sh gptimeshift_example.sh
        
        The Output will be saved in gptimeshift_example/ with plots and results.csv. If you don't have sh, you can still run the script by modifying the scripts via "chmod -x gptimeshift_example.sh" and then run it by "./gptimeshift_example.sh"
        
        Make sure to run "python ./examples/generateToyExampleFiles.py" to generate toy data for examples, if they are not present.
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Environment :: Console
Classifier: Intended Audience :: End Users/Desktop
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX
Classifier: Programming Language :: Python
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Scientific/Engineering :: Visualization
Classifier: Topic :: Software Development :: Libraries
Requires: numpy
Requires: scipy
Requires: pygp
Requires: matplotlib
