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 SUREv1 python=3.10 scipy numpy pandas scikit-learn && conda activate SUREv1
  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

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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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