Alignment, Integration, and Modeling of Spatial Transcriptomics Data
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore cutting-edge research in spatial transcriptomics data analysis through this comprehensive conference talk by Ben Raphael, Professor of Computer Science at Princeton University. Delve into advanced techniques for alignment, integration, and modeling of spatial transcriptomics data, drawing insights from three related research papers. Learn about innovative approaches such as the Belayer method for modeling discrete and continuous spatial variation in gene expression, and the STARCH algorithm for copy number and clone inference from spatial transcriptomics data. Gain valuable knowledge on the latest advancements in computational genomics and their applications in understanding complex biological systems.