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Implementation of a VAE in scvi-tools for single-cell and single-nucleus translation.

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greenelab/single_translator_VAE

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The following project is a work in progress and still in development.

Full documentation on this README will be provided at a later stage of devlopment.

Summary: The following package is a conditional variational autoencoder model implemented through scVI design for data translation between single-cell and single-nucleus RNA-sequencing.

single_translator_VAE

Tests Documentation

Getting started

Please refer to the documentation. In particular, the

Installation

You need to have Python 3.9 or newer installed on your system. If you don't have Python installed, we recommend installing Mambaforge.

There are several alternative options to install single_translator_VAE:

  1. Install the latest development version:
pip install git+https://github.com/greenelab/single_translator_VAE.git@main

Release notes

See the changelog.

Contact

For questions and help requests, you can reach out in the scverse discourse. If you found a bug, please use the issue tracker.

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Implementation of a VAE in scvi-tools for single-cell and single-nucleus translation.

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