bioRxiv · 10.64898/2026.01.13.699341
Hypatia: a set of quantitative methods for profiling isoform across cell populations
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.
Explore related subjects
Keep this discovery
Explore connections, maps & timelines
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. Hypatia: a set of quantitative methods for profiling isoform across cell populations. https://doi.org/10.64898/2026.01.13.699341
Cite the original work for its findings. Save a collection to share your selection of sources.