讲座预告|“数”说前沿论坛第十七期
报告时间：2026年4月17日 9:00
腾讯会议：130-976-659
报告题目：解析组织的复杂性：通过整合空间多组学数据来解读组织的结构与交流方式
报告摘要：
Recent advances in spatial multi-omics technologies have enabled the simultaneous profiling of gene expression, chromatin accessibility, and protein abundance within their native tissue context, providing unprecedented opportunities to study cellular heterogeneity and their communication. However, deciphering complex tissue structures and how they organize together remains challenging due to the intrinsic high-dimensionality, sparsity, and technical noise of these data. We develop deep learning methods that integrate these multimodal data to enhance the multi-view data representation, reveal biologically interpretable tissue structures and decode spatially resolved cell-cell communication that captures the coordinated cell interactions underlying spatial organization.
专家简介：
金锁钦，武汉大学数学与统计学院教授，博士生导师，国家级青年人才。2016年博士毕业于武汉大学，随后在美国加州大学尔湾分校从事博士后研究。主要从事数学、人工智能与生物医学交叉研究，在单细胞/空间组学数据的数学建模和智能挖掘、发展数学的理论与方法应用于解决生物医学前沿科学问题等方面开展了系列研究。研究成果发表在Nat Commun、Cell Genomics、Nat Neurosci、Nat Protoc、Genome Biol等学术期刊上，单篇文章最高引用达7000余次，获2024国际基础科学大会“前沿科学奖”.
