Lin Zhu

MCLand is a Python program that visualizes Waddington's epigenetic landscape using Monte Carlo simulations to model gene regulatory networks and estimate cell state probabilities.

TMELand integrates data-driven GRN inference with model-driven landscape mapping to visualize and analyze cellular transition dynamics from single-cell transcriptomic data.

The paper introduces a Monte Carlo method to model and visualize the Waddington's epigenetic landscape of gene regulatory networks, showing how attractors and paths between them represent stability in biological systems.