Modeling and Analyzing Cell-Cell Communication from Single-Cell Data

Explore cutting-edge techniques for modeling and analyzing cell-cell communication using single-cell sequencing data in this one-hour conference talk by Suoqin Jin at ICBS2024. Delve into the development of CellChat, an integrated method that combines scRNA-seq data with prior knowledge of signaling molecule interactions to systematically infer and analyze intercellular communications. Learn how this innovative approach applies systems biology and machine learning to construct and interpret cell-cell communication networks. Discover the potential of CellChat as a versatile toolkit for uncovering novel signaling mechanisms and creating comprehensive cell-cell communication atlases across diverse tissues. Gain insights into how these advancements can enhance our understanding of cellular heterogeneity and state transitions in complex biological systems.