Ket Hing Chong

The paper introduces a method to visualize Boolean network attractors in 3D using probability distribution from trajectories, distinguishing between point and cyclic attractors.

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.

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.