Metadata-Version: 2.4
Name: scTOP
Version: 2.0.2
Summary: A package for analyzing cell type using single-cell RNA-sequencing data.
Home-page: https://github.com/Emergent-Behaviors-in-Biology/scTOP
Author: Maria Yampolskaya, Huan Souza
Author-email: mariay@bu.edu, hsouza@bu.edu
License: GPL-3.0-or-later
Project-URL: Bug Tracker, https://github.com/Emergent-Behaviors-in-Biology/scTOP/issues
Project-URL: Docs, https://sctop.readthedocs.io/
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
Requires-Python: >=3.8
Description-Content-Type: text/x-rst
License-File: LICENSE.txt
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: scipy
Requires-Dist: tables
Requires-Dist: anndata
Requires-Dist: scikit-learn
Requires-Dist: matplotlib
Requires-Dist: seaborn
Requires-Dist: tqdm
Requires-Dist: numba
Requires-Dist: requests
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=========================================================================================
scTOP: Single-cell Type Order Parameters
=========================================================================================

A Python package for analyzing cell type using single-cell RNA-sequencing data. See our paper for more details: `Development <https://doi.org/10.1242/dev.201873>`_.


`Easy-to-use Colab notebook available here <https://colab.research.google.com/drive/1tyG_Q83BZKBdGNRYExAb07vR4m0NMK25?usp=sharing>`

`Documentation available via Read the Docs <https://sctop.readthedocs.io/>`_ 

Please report bugs or request new features in the Github "Issues" tab. You can also contact Maria or Huan directly at ``mariay@bu.edu`` and ``hsouza@bu.edu``.

Installation
=============

To install using pip: ``pip install sctop``
To install from github: clone or download this repo and import the module from the ``sctop`` directory.

Dependencies
-------------
* NumPy
* Pandas
* SciPy
* scikit-learn
* Anndata
* tqdm
* numba
* matplotlib
* seaborn
* tables
* requests

Sources for reference databases
=================================
* `Mouse Cell Atlas <http://bis.zju.edu.cn/MCA/>`_
* `Herriges et al. <https://doi.org/10.1101/2022.07.26.501591>`
