Metadata-Version: 2.1
Name: QSAR
Version: 0.0.2
Summary: Python library for QSAR model from Juvena Machine Learning Team.
Home-page: UNKNOWN
Author: Xi Chen, Tara Paglino
Author-email: billchenxi@gmail.com, tarapaglino@gmail.com
License: UNKNOWN
Description: QSAR Library
        ============
        
        The 'QSAR' package provides a simple python interfact for using Juvena QSAR deep
        learning model.
        
        Links
        ~~~~~
        
            * QSAR @ PyPi_
        
        
        Installation
        ~~~~~~~~~~~~
        
        Install on Linux, MacOS
        -----------------------
        .. code:: bash
            python3 -m install QSAR
        
        .. note:: Read the `User Guide`_ and `The Juvena QSAR Tutorial`_  to learn more 
                  and to see the code examples on using the `QSAR` model as a library
                  and as a command-line tool.
        
        Update
        ~~~~~~
        - June 18: True Positives and True Negatives from Thach presentation:
           - TP: FGF2, FGF8, FGF9, FGF18, PTHrP, Ihh, Shh, Wnt1, Wnt3a, Wnt5a, Wnt5b, DLL-1
           - TN: TGFβ, TGF-β2, TGF-β3, BMP2, BMP4, BMP7, GDF5, Wnt4, Wnt8, Wnt9a, VEGF, IGF1, Frzb-1, triiodothyronine, thyroxine
        
        
        
        License
        ~~~~~~~
        
        This library package is distributed under the GNU Lesser General Public License 
        v3 or later `license`.
        
        .. _pip: https://pip.pypa.io
        .. _pypi: https://pypi.org/project/QSAR
        
        
        
Keywords: QSAR
Platform: any
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: GNU Lesser General Public License v3 or later (LGPLv3+)
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
