Single-cell Temporal-Omics: Inference of Transcriptional Dynamics

This lecture by the instructor on Single-cell Temporal-Omics focuses on inferring transcriptional dynamics from snapshot data. The content covers concepts such as phase space representation of complex systems, localization of cells in gene expression space, studying dynamics through pseudo-time analysis, and the interpretation of RNA velocity in RNA metabolism. The lecture also delves into the challenges of interpreting pseudotime algorithms, differentiation processes, and the dynamics of mRNA lifecycle. Various algorithms and models for analyzing single-cell data are discussed, along with the extension of steady-state models and the interpretation of velocity arrows in high-dimensional space.