Metadata-Version: 2.1
Name: prescient
Version: 0.0.3
Summary: Method for simulating single cells using longitudinal scRNA-seq.
Home-page: https://github.com/gifford-lab/prescient
Author: Sachit Saksena; Grace Hui-Ting Yeo
Author-email: sachit@mit.edu
License: MIT License
Description: [![PyPI version](https://badge.fury.io/py/prescient.svg)](https://badge.fury.io/py/prescient)
        [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
        
        # prescient
        Software for PRESCIENT (Potential eneRgy undErlying Single Cell gradIENTs), a generative model for modeling single-cell time-series.
        + Current paper version: https://www.biorxiv.org/content/10.1101/2020.08.26.269332v1
        + For paper pre-processing scripts, training bash scripts, pre-trained models, and visualization notebooks please visit https://github.com/gifford-lab/prescient-analysis.
        
        ## Documentation
        Documentation is available at https://cgs.csail.mit.edu/prescient.
        
        <!-- ![trajectories_gif](docs/assets/gifs/trajectories.gif) -->
        
        ## Requirements
        
        + pytorch 1.4.0
        + geomloss 0.2.3, pykeops 1.3
        + numpy, scipy, pandas, sklearn, tqdm, annoy
        + scanpy, pyreadr, anndata
        + Recommended: An Nvidia GPU with CUDA support for GPU acceleration (see paper for more details on computational resources)
        
        ## Bugs & Suggestions
        
        Please report any bugs, problems, suggestions or requests as a [Github issue](https://github.com/gifford-lab/prescient/issues)
        
Platform: UNKNOWN
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Requires-Python: >=3.4
Description-Content-Type: text/markdown
