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Hypatia: a set of quantitative methods for profiling isoform across cell populations

Pan, T.; Shiau, C.-K. S.; Lu, L.; Wang, C.; Wang, M.; He, Y.; Bhimaraj, A.; Brat, D. J.; Huse, J. T.; Li, J. J.; Gao, R.

2026-01-14 bioinformatics
10.64898/2026.01.13.699341 bioRxiv
Show abstract

High-throughput long-read single-cell RNA-sequencing enables isoform-level study across single cells, yet methods for systematically assessing cell-to-cell variations remain limited. Here, we develop Hypatia, a comprehensive platform for dissecting isoform complexities across cell populations, devising Tsallis entropy and Cramers V to facilitate robust comparative profiling. Hypatia revealed prominent isoform species variations and usage shifts across cell-types in glioblastoma, renal cell carcinoma, and heart, highlighting clinically relevant applications for studying isoform-derived, cell-specific functions.

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