Statistical approaches for spatial genomics at single cell resolution

细胞相互合作形成复杂、动态和多样的组织结构。该项目旨在开发统计和计算方法来分析空间基因组学数据，这是一种新技术，可以在单细胞分辨率下保留重要的空间信息，同时检测数百个基因的RNA分子。观察细胞在其空间环境中的分子活动对于解决关键的生物学问题至关重要，例如肿瘤细胞在恶性肿瘤期间如何表现或干细胞如何决定其命运。预期的结果还包括完全协调空间和非空间基因组学数据集的技术，以及理解细胞在其环境中的复杂关系的方法，揭示新的细胞生物学。

Cells cooperate to form complex, dynamic and varied tissue structures. This project aims to develop statistical and computational approaches to analyse spatial genomics data, a novel technology that retains vital spatial information at single cell resolution while detecting RNA molecules for hundreds of genes. Observing the molecular activity of cells in their spatial context is critical for tackling key biological questions, such as how tumour cells behave during malignancy or how stem cells determine their fate. Expected outcomes also include techniques to fully harmonise spatial and non-spatial genomics datasets, and methods toward understanding the complex relationships among cells in their environment, revealing novel cell biology.