Dissecting the Gene Regulatory Grammar at a Single Cell Resolution

Explore a conference talk that delves into the intricacies of gene regulatory grammar at single-cell resolution. Discover cutting-edge research and methodologies presented by Jing Zhang at the Computational Genomics Summer Institute (CGSI) 2024. Gain insights into scalable and accurate invariant representation learning for single-cell ATAC-seq processing and integration, as well as integrated analysis of multimodal single-cell data with structural similarity. Learn about DeepVelo, a novel approach for single-cell transcriptomic deep velocity field learning using neural ordinary differential equations. Examine the DIRECT-NET method for efficient discovery of cis-regulatory elements and construction of regulatory networks from single-cell multiomics data. This 30-minute presentation offers a comprehensive overview of recent advancements in computational genomics, providing valuable knowledge for researchers and professionals in the field.

Jing Zhang | Dissecting the Gene Regulatory Grammer at a Single cell Resolution | CGSI 2024