Project description

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.

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)

Please report any bugs, problems, suggestions or requests as a Github issue

These details have not been verified by PyPI

0.1.0

Feb 18, 2021

This version

0.0.4

Feb 18, 2021

0.0.3

Feb 18, 2021

0.0.2

Feb 17, 2021

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