Metadata-Version: 2.1
Name: meld
Version: 0.0
Summary: MELD
Home-page: https://github.com/KrishnaswamyLab/MELD
Author: Daniel Burkhardt, Krishnaswamy Lab, Yale University
Author-email: daniel.burkhardt@yale.edu
License: GNU General Public License Version 2
Download-URL: https://github.com/KrishnaswamyLab/MELD/archive/v0.0.tar.gz
Description: MELD (Manifold Enhancement of Latent Dimensions)
        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
        
        .. image:: https://img.shields.io/pypi/v/MELD.svg
            :target: https://pypi.org/project/MELD/
            :alt: Latest PyPi version
        .. image:: https://api.travis-ci.com/KrishnaswamyLab/MELD.svg?branch=master
            :target: https://travis-ci.com/KrishnaswamyLab/MELD
            :alt: Travis CI Build
        .. image:: https://coveralls.io/repos/github/KrishnaswamyLab/MELD/badge.svg?branch=master
            :target: https://coveralls.io/github/KrishnaswamyLab/MELD?branch=master
            :alt: Coverage Status
        .. image:: https://img.shields.io/readthedocs/meld-docs.svg
            :target: https://meld-docs.readthedocs.io/
            :alt: Read the Docs
        .. image:: https://zenodo.org/badge/DOI/10.1101/532846.svg
            :target: https://doi.org/10.1101/532846
            :alt: bioRxiv Preprint
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            :target: https://twitter.com/KrishnaswamyLab
            :alt: Twitter
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        Quantifying the effect of experimental perturbations in scRNA-seq data.
        
        Note, this repository is under active development. Please check back on
        Monday Feb 4th 2019 for Version 0.1.
        
        For now, check out our preprint on BioRxiv:
        
        **Enhancing experimental signals in single-cell RNA-sequencing data using graph signal processing**. Daniel B Burkhardt, Jay S Stanley, Ana Luisa Perdigoto, Scott A Gigante, Kevan C Herold, Guy Wolf, Antonio Giraldez, David van Dijk, Smita Krishnaswamy. `BioRxiv <https://www.biorxiv.org/content/10.1101/532846v1>`__. doi:10.1101/532846.
        
        Installation
        ============
        
        ::
        
           pip install --user git+git://github.com/KrishnaswamyLab/MELD.git
        
        Requirements
        ------------
        
        MELD requires Python >= 3.5. All other requirements are installed automatically by ``pip``.
        
        Optional
        --------
        
        `pyunlocbox <https://pyunlocbox.readthedocs.io/en/stable/>`__ is used for fast solving via proximal splitting. Install it via ``pip install pyunlocbox``.
        
        Usage example
        =============
        
        ::
        
           import meld
           import graphtools
           G = graphtools.Graph(data, use_pygsp=True)
           meld_score = meld.meld(label, G=G, beta=0.5)
        
Keywords: big-data,manifold-learning,computational-biology
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Environment :: Console
Classifier: Framework :: Jupyter
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Natural Language :: English
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX :: Linux
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Provides-Extra: doc
Provides-Extra: test
