Metadata-Version: 1.1
Name: gdsctools
Version: 0.2.0
Summary: Set of tools and pipelines to analyse GDSC data (cancerrxgene.org)
Home-page: ['http://pypi.python.org/pypi/gdsctools']
Author: Thomas Cokelaer
Author-email: cokelaer@gmail.com
License: BSD
Download-URL: ['http://pypi.python.org/pypi/gdsctools']
Description: GDSCtools 
        ============
        
        
        .. image:: https://badge.fury.io/py/gdsctools.svg
            :target: https://pypi.python.org/pypi/gdsctools
        
        .. image:: https://secure.travis-ci.org/CancerRxGene/gdsctools.png
            :target: http://travis-ci.org/CancerRxGene/gdsctools
        
        .. image::  https://coveralls.io/repos/CancerRxGene/gdsctools/badge.svg?branch=master&service=github
            :target: https://coveralls.io/github/CancerRxGene/gdsctools?branch=master 
        
        .. image:: https://badge.waffle.io/CancerRxGene/gdsctools.png?label=issues&title=issues
           :target: https://waffle.io/gdsctools/gdsctools
        
        :Note: tested for PYthon 2.7, 3.3, 3.4
        :Contributions: Please join https://github.com/CancerRxGene/gdsctools project
        
        :Online documentation: `On pypi website <http://pythonhosted.org/gdsctools/>`_,
        :Issues and bug reports: `On github <https://github.com/CancerRxGene/gdsctools/issues>
        `_,
        
        Overview
        -----------
        Genomics of Drug Sensitivity in Cancer (GDSC) tools including pipelines related  to http://www.cancerrxgene.org/ 
        
        Installation
        ---------------
        
        ::
        
          pip install gdsctools
          
          
        QuickStart
        -------------
        
        2 inputs matrices are required: (1)  an IC50 matrix with COSMIC identifiers as rows and drugs as columns, and (2) a genomic feature matrix with COSMIC identifiers as rows and features as columns. Then, you can analyse the data with the standalone application::
        
            gdsctools_anova --ic50 ic50.txt --feature features.txt --analyse-all 
        
        or as a script::
        
          from gdsctools import anova, reader
          ic50 = reader.IC50('ic50.txt')
          features = reader.Features('features.txt')
          an = ANOVA(ic50, features)
          an.anova_all()
          
          
        More examples are provided in the documentation. You can for example select a specific drug, or a set of drugs instead of the entire screening, or perform a sub selection on features. 
        
        
        
        
        
        
        .. note:: Version 1 (linear regression and ANOVA) was created based on https://github.com/francescojm/FI.GDSC.ANOVA
        
Keywords: gdsc,drug,anova
Platform: Linux
Platform: Unix
Platform: MacOsX
Platform: Windows
Classifier: Development Status :: 1 - Planning
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 2.7
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Scientific/Engineering :: Physics
