bioRxivJClub
Hypatia: Comparative Isoform Profiling Across Cell Populations from Long-Read Single-Cell Transcriptomes
bioRxiv · · Preprint · Open access
Pan, Shiau + 9 more
Abstract ↗AI summary
The abstract is read at the publisher; the summary is JClub's.
Hypatia enables systematic, isoform-level comparison across cell populations from long-read single-cell RNA-seq, with Cramer's V improving isoform-usage shift precision and Tsallis entropy refining isoform diversity.
- Why it matters: Long-read single-cell RNA-seq can quantify isoforms per cell, but methods to delineate cell population-specific isoforms across multiple isoform complexity dimensions are limited.
- What they did: Hypatia compares isoform usage, diversity, and expression, using Cramer's V for usage shifts and Tsallis entropy for isoform diversity, then integrates these analyses on real datasets.
- The result: Cramer's V improves precision for detecting isoform usage shifts but detects fewer events in sparser data, while Tsallis entropy improves comparability across genes and cells.
The findingWhy it mattersWhat they didThe result
- Open access
- 1 cites