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Single-cell Variational Inference

Project description

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scVI
====

.. image:: https://travis-ci.org/YosefLab/scVI.svg?branch=master
:target: https://travis-ci.org/YosefLab/scVI

.. image:: https://codecov.io/gh/YosefLab/scVI/branch/master/graph/badge.svg
:target: https://codecov.io/gh/YosefLab/scVI

.. image:: https://readthedocs.org/projects/scvi/badge/?version=latest
:target: https://scvi.readthedocs.io/en/latest/?badge=latest
:alt: Documentation Status


Single-cell Variational Inference


* Free software: MIT license
* Documentation: https://scvi.readthedocs.io.


Installation
--------

1. Install PyTorch: http://pytorch.org

2. Install this repository from source: ``git clone https://github.com/YosefLab/scVI.git``

3. Refer to the examples_ subdirectory for Jupyter notebooks that illustrate usage.

.. _examples: https://github.com/YosefLab/scVI/tree/master/examples

Benchmarks
--------

To recreate the results appearing in the paper referenced below, run

.. code-block::

python ./run_benchmarks.py --dataset=cortex

References
--------

Romain Lopez, Jeffrey Regier, Michael B Cole, Michael Jordan, Nir Yosef.
**"Bayesian Inference for a Generative Model of Transcriptome Profiles from Single-cell RNA Sequencing."**
In submission. Preprint available at https://www.biorxiv.org/content/early/2018/03/30/292037


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History
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0.1.0 (2018-06-12)
0.1.1 (2018-06-14)
0.1.2 (2018-06-16)
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* First release on PyPI.


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