Metadata-Version: 2.1
Name: anticor_features
Version: 0.0.99
Summary: Anti-correlation based feature selection for single cell datasets
Home-page: https://scottyler892@bitbucket.org/scottyler892/anticor_features
Author: Scott Tyler
Author-email: scottyler89@gmail.com
License: UNKNOWN
Description: # README #
        
        ### Tutorials ###
        
        Anti-correlated genes as a method of feature selection
        
        ### What is this repository for? ###
        
        * Unsupervised feature selection for single cell omics (or anything else!) that passes the null dataset test
        
        ### How do I get set up? ###
        
        `python3 -m pip install anticor_features`
        
        You can also install using the setup.py script in the distribution like so:
        `python3 setup.py install`
        
        
        ### How do I run use this package? ###
        
        #### Using Scanpy or AnnData as an interface? ####
        
        ```
        from XXX import XXX
        
        
        ```
        This yields a pandas data frame that will give you the collected summary statistics, and let you filter based on the features annotated as "selected" in that column
        ```
        >>> print(anti_cor_res.head())
        
        ```
        
        
        A list of the gProfiler accepted species codes is listed here: https://biit.cs.ut.ee/gprofiler/page/organism-list
        
        ### License ###
        This package is available via the AGPLv3 license.
        
        ### Who do I talk to? ###
        
        * Repo owner/admin: scottyler89+bitbucket@gmail.com
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: GNU Affero General Public License v3
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
