Early Detection of Transcriptomic State-Transition Dynamics in Cancer Through Nonlinear Dynamical Systems Analysis
Background: Understanding transcriptomic state-transition dynamics is important for elucidating cancer progression and therapeutic response, yet existing single-cell transcriptomic approaches primarily characterize gene-expression changes or pseudotemporal ordering rather than the dynamical organization of cellular-sta...