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PILOT-GM-VAE (Paper)

Patient-Level Analysis of Single Cell Disease Atlas with Optimal Transport of Gaussian Mixtures Variational Autoencoders. We introduce here PatIent-Level Analysis with Optimal Transport based on Gausian Mixture Variational AutoEncoders. PILOT-GM-VAE explores the power of GM-VAE to estimate models describing complex single cell distributions with efficient optimal transport algorithms for estimating the distance between GMs.

plot

git clone https://github.com/CostaLab/PILOT-GM-VAE.git

cd PILOT-GM-VAE

conda create --name PILOT-GM-VAE python

conda activate PILOT-GM-VAE

pip install pilotgm

Navigate to Tutorial.

Then please use the provided Tutorial.

Data sets

You can access the used data sets by PILOT-GM-VAE in Part 1 DOI, Part 2 DOI and Part 3 DOI

Metadata

Release files for pilotgm 0.1.1

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pilotgm-0.1.1-py3-none-any.whl Python 3 none any Details

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