Hypatia: Comparative Isoform Profiling Across Cell Populations from Long-Read Single-Cell Transcriptomes
Timothy Pan, Cheng-Kai Shiau, Lina Lu, Changhu Wang, Minhua Wang, Yueying He, A. Bhimaraj, Daniel Brat 等 11 位
Northwestern University Robert H. Lurie Comprehensive Cancer Center of Northwestern University University of Washington Fred Hutch Cancer Center
阅读操作
确认中在文库中上传 PDF 后可生成中文音频讲解。
摘要与影响
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 Cramer's 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.
逐年被引趋势
关键指标
同类平均 = 1
同领域 · 同年份 · 同类型
Google Scholar 与 OpenAlex 的被引统计范围不同,数值存在差异属正常。
AI 辅助阅读
依据:摘要
可就本文提问;依据不足时会说明。
学术脉络
学科主题
生物医学Single-cell and spatial transcriptomics
Cancer Genomics and Diagnostics · Cell Image Analysis Techniques
参考文献 18
此处列出前 3 条
引用本文 1
按被引量排序,此处列出前 3 条