Studying molecular spatial co-expression in Spatial Omics datasets
Souvik Seal, PhD
Assistant Professor of Biostatistics and Bioinformatics
Dept of Public Health Sciences
and Hollings Cancer Center | MUSC
WHEN:聽Wednesday, November 13, 2024, from 3:30 to 4:30 p.m.
WHERE:聽Hybrid | 2001 91社区 College Avenue, Room 1201;
NOTE: Souvik Seal will be presenting from South Carolina
Abstract
Advancements in spatial omics technologies have facilitated the measurement of expression profiles of thousands of molecules, including genes (spatial transcriptomics), glycans (imaging mass spectrometry), and immune proteins (multiplex immunofluorescence), across spatial locations (spots, cells, or pixels) within tissues. However, there remains a significant lack of statistical methods for detecting spatial variations in the coordinated expression of molecule pairs. In the first part of this talk, I will present a point process-based framework for summarizing and testing differential spatial co-expression in spatial proteomics datasets. In the latter part, I will introduce a Bayesian shrinkage-based approach for identifying spatial co-expression in spatial transcriptomics and imaging mass spectrometry datasets.
Speaker Bio
Souvik Seal is an Assistant Professor of Biostatistics and Bioinformatics at the Department of Public Health Sciences and Hollings Cancer Center, Medical University of South Carolina (MUSC), since 2023. Previously, he was a post-doctoral fellow under Prof. Debashis Ghosh at the University of Colorado, focusing on statistical methods for Single-cell Imaging and Multi-omics network analysis. He earned his Ph.D. in Biostatistics from the University of Minnesota in 2020, where his thesis centered on Genome-wide Association Analysis in large-scale biobank studies. His research interests lie in Spatial Statistics for Multi-omics and Statistical Genetics. For more information, please visit: .