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trVAE - Regularized Conditional Variational Autoencoders

Project description

trVAE PyPI version Build Status

Introduction

A Keras (with tensorflow backend) implementation of trVAE. trVAE is a deep generative model which learns mapping between multiple different styles (conditions). trVAE can be used for style transfer in images, single-cell perturbations response across celltypes, times and etc.

Getting Started

Installation

Installation with pip

To install the latest version from PyPI, simply use the following bash script:

pip install trvae

or install the development version via pip:

pip install git+https://github.com/theislab/trvae.git

or you can first install flit and clone this repository:

pip install flit
git clone https://github.com/theislab/trVAE
cd trVAE
flit install

Examples

Reproducing paper results:

In order to reproduce paper results visit here.

References

Lotfollahi, Mohammad and Wolf, F. Alexander and Theis, Fabian J. "scGen predicts single-cell perturbation responses." Nature Methods, 2019. pdf

Project details


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