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Deep learning for single-cell transcript counts

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scVAE: Single-cell variational auto-encoders

scVAE is a command-line tool for modelling single-cell transcript counts using variational auto-encoders.

Install scVAE using pip for Python 3.6 and 3.7:

$ python3 -m pip install scvae

scVAE can then be used to train a variational auto-encoder on a data set of single-cell transcript counts:

$ scvae train transcript_counts.tsv

And the resulting model can be evaluated on the same data set:

$ scvae evaluate transcript_counts.tsv

For more details, see the documentation, which include a user guide and a short tutorial.

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