Metadata-Version: 1.2
Name: pimkl
Version: 0.1.1
Summary: pathway induced multiple kernel learning for computational biology
Home-page: https://github.com/PhosphorylatedRabbits/pimkl
Author: Joris Cadow and Matteo Manica
Author-email: joriscadow@gmail.com, drugilsberg@gmail.com
License: MIT license
Description: =====
        pimkl
        =====
        
        
        .. .. image:: https://travis-ci.org/PhosphorylatedRabbits/pimkl.svg
            :target: https://travis-ci.org/PhosphorylatedRabbits/pimkl
        
        .. .. image:: https://readthedocs.org/projects/pimkl/badge/?version=latest
                :target: https://pimkl.readthedocs.io/en/latest/?badge=latest
                :alt: Documentation Status
        
        .. .. image:: https://pyup.io/repos/github/PhosphorylatedRabbits/pimkl/shield.svg
             :target: https://pyup.io/repos/github/PhosphorylatedRabbits/pimkl/
             :alt: Updates
        
        
        
        pathway induced multiple kernel learning for computational biology
        
        
        * Free software: MIT license
        * Documentation: https://pimkl.readthedocs.io.
        
        
        Features
        --------
        
        The pimkl command:
        
        .. code-block:: console
        
            Usage: pimkl [OPTIONS] NETWORK_CSV_FILE NETWORK_NAME GENE_SETS_GMT_FILE
                     GENE_SETS_NAME PREPROCESS_DIR OUTPUT_DIR CLASS_LABEL_FILE [LAM]
                     [K] [NUMBER_OF_FOLDS] [MAX_PER_CLASS] [SEED] [MAX_PROCESSES]
                     [FOLD]
        
            Console script for a complete pimkl pipeline, including preprocessing and
            analysis. For more details consult the following console scripts, which
            are here executed in this order. `pimkl-preprocess --help` `pimkl-analyse
            run-performance-analysis --help`
        
            Options:
            -fd, --data_csv_file PATH       [required]
            -nd, --data_name TEXT           [required]
            --model_name [EasyMKL|UMKLKNN|AverageMKL]
            --help                          Show this message and exit.
        
        Requirements
        -------------
        
        * C++14 capable C++ compiler
        * cmake (>3.0.2)
        * Python
        
        
        Installation
        -------------
        
        Install the dependencies
        
        .. code-block:: bash
        
            pip install -r requirements.txt
        
        Install the package
        
        .. code-block:: bash
        
            pip install .
        
        
        Tutorial
        ---------
        
        You can find a brief tutorial in the dedicated folder.
        
        Credits
        -------
        
        This package was created with Cookiecutter_ and the `audreyr/cookiecutter-pypackage`_ project template.
        
        .. _Cookiecutter: https://github.com/audreyr/cookiecutter
        .. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage
        
        
        =======
        History
        =======
        
        0.1.0 (2020-11-05)
        ------------------
        
        * First release on PyPI.
        
        0.1.0 (2019-10-01)
        ------------------
        
        * First release.
        
Keywords: pimkl
Platform: UNKNOWN
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Requires-Python: >=3.5
