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# scVAE: Single-cell variational auto-encoders # |
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scVAE is a command-line tool for modelling single-cell transcript counts using variational auto-encoders. |
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Install scVAE using pip for Python 3.6 and 3.7: |
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$ python3 -m pip install scvae |
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scVAE can then be used to train a variational auto-encoder on a data set of single-cell transcript counts: |
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$ scvae train transcript_counts.tsv |
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And the resulting model can be evaluated on the same data set: |
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$ scvae evaluate transcript_counts.tsv |
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For more details, see the [documentation][], which include a user guide and a short tutorial. |
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[documentation]: https://scvae.readthedocs.io |