报告题目：Exploring Spatial Omics with Machine Learning
报告时间：2024年6月20日 10：00
报告地点：122cc太阳集成中心校区王湘浩楼A521
报 告 人：王珏鑫

报告人简介：
Dr. Wang is an Assistant Professor in the Department of BioHealth Informatics at Indiana University-Purdue University Indianapolis. He earned his PhD in Computer Science in Jilin University and finished his training in Bioinformatics at the University of Missouri. His research mainly focuses on developing computational methods to model single-cell and spatial transcriptomics data, and data analysis in kidney diseases, cancer, and nervous system diseases. His lab has been funded by NIH.
报告内容简介：
Emerging spatial omics provides unprecedented challenges and opportunities for bioinformatic research. Here I present three recent works in my lab: (1) BSP, a dimension-agnostic granularity-based spatially variable gene identification approach, and scBSP, a computational efficient implementation of BSP; (2) REGNN, an empowered graph neural networks for heterogeneous tissue architecture analysis in kidney; and (3) TrimNN, a triangulation structural motif neural network for identifying cell organization in spatial omics.

主办单位：122cc太阳集成
     122cc太阳集成软件学院
     122cc太阳集成计算机科学技术研究所
     符号计算与知识工程教育部重点实验室
     仿真技术教育部重点实验室
     网络技术及应用软件教育部工程研究中心
     122cc太阳集成国家级计算机实验教学示范中心