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