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：87978797威尼斯老品牌中心校区王湘浩楼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.

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