Metadata-Version: 2.1
Name: nabo
Version: 0.2.0
Summary: Python library to perform memory efficient cross-sample cell mapping using single cell transciptomics (scRNA-Seq) data
Home-page: https://github.com/parashardhapola/nabo
Author: Parashar Dhapola
Author-email: parashar.dhapola@gmail.com
Maintainer: Parashar Dhapola
Maintainer-email: parashar.dhapola@gmail.com
License: BSD 3-Clause
Keywords: scRNA-Seq,bioinformatics,single cell,analysis,graph,cell alignment,rna-seq,sequencing,shared nearest neighbors,knn,snn
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: License :: OSI Approved :: BSD License
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 :: 3.6
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Classifier: Topic :: Scientific/Engineering :: Visualization
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|PyPI| |Docs| |License|

.. |PyPI| image:: https://img.shields.io/pypi/v/nabo.svg
        :target: https://pypi.org/project/nabo
.. |Docs| image:: https://readthedocs.org/projects/nabo/badge/?version=latest
        :target: https://nabo.readthedocs.io
.. |License| image:: https://img.shields.io/pypi/l/nabo.svg

=====
Nabo
=====

.. raw:: html

   <p>
        <img src="https://raw.githubusercontent.com/parashardhapola/nabo/master/docs/_static/me_map.png" style="width: 150px" align="left">
        Nabo is a flexible Python package that allows projections of cells from one population to another using single-cell RNA-Seq data. Nabo works by setting one of the populations as a reference' and then maps cells from other populations ('targets') onto it. Nabo provides data implicit methods of verifying mapping quality, this allows users to clearly infer similarities between sub-populations across samples
   </p>

Please refer to the `documentation <https://nabo.readthedocs.io>`__ to know more.


