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Deep interpretable learning of sample representations for characterizing disease states in single-cell transcriptomics


PyPI version Docs Python License


Thank you for using Phenoverse, if you find a bug or encounter any issues running the tool, please open an issue on GitHub, and we will get back to you as soon as possible : )


For usage, please refer to the documentation available here


Phenoverse

Citation

If you use Phenoverse in your work, please cite:

Wagle, M.M., Wang, Y., Samanta, S., Liu, Z., Patrick, E., Yang, P & Kellis, M. Deep interpretable learning of sample representations for characterizing disease states in single-cell transcriptomics. bioRxiv (2026). https://doi.org/10.1038/s44320-026-00208-7

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