Construction of a Waddington-like landscape model that can guide clinical exploration of p53-dynamics-activating parameters in the face of divergent p53 dynamics
Article in Communications in Nonlinear Science and Numerical Simulation (May 2024)
The most recent citing publications are shown below. View all 40 publications that cite this research output on Dimensions.
Deep learning untangles the resistance mechanism of p53 reactivator in lung cancer cells
Article in iScience (November 2023)
TMELand: An end-to-end pipeline for quantification and visualization of Waddington’s epigenetic landscape based on gene regulatory network
Preprint in bioRxiv (June 2023)