这篇文章介绍了 TopoLa，这是一个新颖的拓扑编码潜在双曲几何框架，旨在通过捕获细胞间精细的拓扑关系，来增强单细胞和空间组学研究中的 细胞表示。该框架包含两个关键组件：TopoLa 距离 (TLd)，用于量化潜在双曲空间中的几何距离，以及 TopoConv，用于通过对具有相似拓扑结构的相邻细胞进行卷积来优化细胞表示。作者通过在七项生物学任务上展示对现有先进模型的显著性能改进，如单细胞 RNA 测序数据聚类和空间转录组学域识别，验证了 TopoLa 的通用性和鲁棒性。研究还详细阐述了 TLd 的物理意义和 TopoConv 增强细胞表示的数学原理。References: Zheng K, Wang S, Xu Y, et al. TopoLa: A Universal Framework to Enhance Cell Representations for Single-cell and Spatial Omics through Topology-encoded Latent Hyperbolic Geometry[J]. bioRxiv, 2025: 2025.07. 23.666288.
No persons identified in this episode.
This episode hasn't been transcribed yet
Help us prioritize this episode for transcription by upvoting it.
Popular episodes get transcribed faster
Other recent transcribed episodes
Transcribed and ready to explore now
Trump $82 Million Bond Spree, Brazil Tariffs 'Too High,' More
16 Nov 2025
Bloomberg News Now
Ex-Fed Gov Resigned After Rules Violations, Trump Buys $82 Mil of Bonds, More
16 Nov 2025
Bloomberg News Now
THIS TRUMP INTERVIEW WAS INSANE!
16 Nov 2025
HasanAbi
Epstein Emails and Trump's Alleged Involvement
15 Nov 2025
Conspiracy Theories Exploring The Unseen
New Epstein Emails Directly Implicate Trump - H3 Show #211
15 Nov 2025
H3 Podcast
Trump Humiliates Himself on FOX as They Call Him Out
15 Nov 2025
IHIP News