RNA Velocity and Cellular Dynamics
Mathematical and computational methods for evaluating RNA velocity and analyzing cell-state transitions.
Overview
RNA velocity provides information about the direction and dynamics of cellular state transitions using single-cell transcriptomic data.
Our research develops mathematical and computational approaches to evaluate RNA velocity representations, assess transition consistency, and improve the interpretation of cellular dynamics.
Research Directions
- Evaluation of RNA velocity embeddings and transition consistency.
- Development of the Embedding Velocity Topology Score (EVTS).
- Analysis of branching trajectories and cellular state transitions.
- Applications to single-cell biomedical datasets.
Research Significance
This project aims to improve the reliability and biological interpretation of RNA velocity analysis, supporting the study of dynamic processes in complex biological systems.
Related Research
Selected publications and manuscripts will be linked here as they become publicly available.