Metadata-Version: 1.2
Name: scvelo
Version: 0.1.3
Summary: stochastic single cell RNA velocity 
Home-page: https://github.com/theislab/scvelo
Author: Volker Bergen
Author-email: volker.bergen@helmholtz-muenchen.de
License: BSD
Download-URL: https://github.com/theislab/scvelo
Description: scvelo – stochastic single cell RNA velocity 
        ============================================
        
        |PyPI| |Docs| |travis|
        
        **scvelo** is a scalable toolkit for estimating and analyzing stochastic RNA velocities in single cells.
        
        RNA velocity is the time derivative of mRNA abundance obtained by distinguishing unspliced (precursor) from spliced
        (mature) mRNA, and serves as a predictive indicator for the future state of an individual cell. The main principles
        of RNA velocity estimation have been presented in
        velocyto_ (`La Manno et al., 2018 <https://doi.org/10.1038/s41586-018-0414-6>`_)
        and are based on a deterministic model of transcriptional dynamics. scvelo uses a stochastic formulation and
        incorporates intrinsic expression variability.
        
        It is compatible with scanpy_ (`Wolf et al., 2018 <https://doi.org/10.1186/s13059-017-1382-0>`_). Making use of sparse
        implementation, iterative neighbors search and other techniques, it is remarkably efficient in terms of memory and
        runtime without loss in accuracy (<1GB and <1min for 30,000 cells on a MacBook Pro 2017 with 2.3 GHz i5).
        
        For getting started, read the documentation_ and take a look at some exemplary notebooks_.
        
        
        .. |PyPI| image:: https://img.shields.io/pypi/v/scvelo.svg
            :target: https://pypi.org/project/scvelo
            
        .. |Docs| image:: https://readthedocs.org/projects/scvelo/badge/?version=latest
           :target: https://scvelo.readthedocs.io
        
        .. |travis| image:: https://travis-ci.org/theislab/scvelo.svg?branch=master
           :target: https://travis-ci.org/theislab/scvelo
           
        .. _velocyto: http://velocyto.org/
        .. _scanpy: https://github.com/theislab/scanpy
        .. _documentation: https://scvelo.readthedocs.io
        .. _notebooks: https://nbviewer.jupyter.org/github/theislab/scvelo_notebooks/blob/master/DentateGyrus.ipynb
        
Keywords: RNAseq,singlecell,stochastic,velocity,transcriptomics
Platform: UNKNOWN
Requires-Python: >=3.6
