Jie Yang

CellDyc improves transcriptomic velocity inference by integrating experimental time points, enhancing trajectory reconstruction in development, disease, and reprogramming.

The paper introduces a Bayesian model to detect spatially variable genes in imaging-based spatial transcriptomics data, showing high accuracy in identifying genes with novel spatial patterns.