Hamid Ismail

Submitted: 21 September 2026 Posted: 22 September 2026 You are already at the latest version Background/Objectives: Single-cell RNA sequencing enables reconstruction of developmental trajectories, but identifying regions of major transcriptional state reorganization remains challenging, particularly when no explicit dynamical model is available.

You are already at the latest version Understanding critical transcriptomic state transitions is essential for elucidating cancer progression and therapeutic response. Although single-cell transcriptomics has transformed the study of cellular heterogeneity, existing approaches primarily characterize gene expression changes or pseudotemporal ordering rather than the underlying dynamics of cellular state transitions.