Succinct Representation of Single Cells

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  • License: MIT License
  • Author: Feng Zeng
  • Requires: Python >=3.10
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Project description

SURE: SUccinct REpresentation of cells

SURE implements a discrete latent state model with normalizing flow encoder for exact estimation of cellular populations.

Installation

  1. Create a virtual environment
conda create -n SURE python=3.10 scipy numpy pandas scikit-learn && conda activate SURE
  1. Install PyTorch following the official instruction.
pip3 install torch torchvision --index-url https://download.pytorch.org/whl/cu126
  1. Install SURE
pip3 install SURE-tools

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for ZengFLab from gravatar.com ZengFLab

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License
  • Author: Feng Zeng
  • Requires: Python >=3.10
Classifiers

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