Single-Cell and Spatial Omics: Methods and Applications
December 5th-6th, 2024
Rm 2502 (lift 25/26),HKUST, Hong Kong
December 5th-6th, 2024
Rm 2502 (lift 25/26),HKUST, Hong Kong
This symposium aims to bring together leading scientists in the fields of single-cell and spatial omics, covering technology development, computational methods, and biomedical applications. Experts will share their latest technological breakthroughs and research findings in single-cell sequencing, spatial transcriptomics, multi-omics integration, and their innovative applications in developmental biology, tumor heterogeneity, and immunology. The event will provide ample opportunities for interdisciplinary discussions, fostering both technological innovations and translational applications in single-cell and spatial omics research.
All are welcome. Walk-ins are also acceptable on the day. Register closed.
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Department of Mathematics, The Hong Kong University of Science and Technology
Division of Life Science, Department of Chemical and Biological Engineering, The Hong Kong University of Science and Technology
School of Biomedical Sciences, The University of Hong Kong
School of Biomedical Sciences, Department of Statistics and Actuarial Science, The University of Hong Kong
Beijing Neurosurgical Institute, Beijing Tiantan Hospital
Department of Statistics, The Chinese University of Hong Kong
Dec. 5th Venue: Rm 2502 (lift 25/26), Academic Building, HKUST, Campus Map, suggested to bring laptop
Time | Schedule |
---|---|
14:00 -- 15:30 | Tutorial on Spatial Transcriptomics Jean Yang's team |
15:30 -- 16:00 | Discussion & Tea Break |
16:00 -- 17:30 | Tutorial on Spatial Transcriptomics Jean Yang's team |
18:00 | G/F dinner Wang Lab, Yang Lab and guest speakers |
Dec. 6th Venue: Rm 2502 (lift 25/26), Academic Building, HKUST, Campus Map
Time | Schedule |
---|---|
09:00 -- 09:25 | Leveraging Spatial Transcriptomics Data for Translation Jean Yang, University of Sydney |
09:30 -- 09:55 | Integrative Analysis and Regulatory Inference in Spatial Multi-Omics Data via Graph Representation Learning Zhixiang Lin, The Chinese University of Hong Kong |
10:00 -- 10:25 | Analysis of Transcript Variants from Single-cell and Spatial RNA-seq data Yuanhua Huang, The University of Hong Kong |
10:30 -- 11:00 | Discussion & Tea Break |
11:00 -- 11:25 | Positive Selection in Normal and Precancerous Tissues Gladys Yeuk Pin Poon, The University of Hong Kong |
11:30 -- 11:55 | Single-cell Analyses Reveal the PVR/TIGIT Axis-mediated Immune Evasion in IDH-wildtype Glioblastoma Zheng Zhao, Beijing Neurosurgical Institute, Beijing Tiantan Hospital |
12:00 -- 13:30 | Lunch (By Invitation Only) |