Models and Methods for Spatial Transcriptomics - CGSI 2024
Computational Genomics Summer Institute CGSI via YouTube
Overview
Explore cutting-edge models and methodologies for spatial transcriptomics analysis in this research lecture from the Computational Genomics Summer Institute (CGSI) 2024, where advanced computational approaches for understanding gene expression patterns in their spatial context are examined in detail. Delve into the latest developments in spatial transcriptomics technology, including innovative computational methods for analyzing and interpreting spatial gene expression data, statistical models for identifying spatial patterns, and techniques for integrating multiple data modalities. Learn how these approaches are revolutionizing our understanding of tissue organization, cellular interactions, and gene expression dynamics in their native spatial context.
Syllabus
Ben Raphael | Models and Methods for Spatial Transcriptomics | CGSI 2024
Taught by
Computational Genomics Summer Institute CGSI