Gene regulatory circuits (GRCs) regulate many biological processes including cell cycle, cell differentiation, and phenotypic switching. Stochasticity in the gene expression impacts the dynamics and functions of such GRCs. Vivek Kohar and Mingyang Lu from Jackson Laboratory have developed a systems-biology modeling method stochastic random circuit perturbation (sRACIPE), which takes the GRC topology as the only input, and simulates an ensemble of models with random kinetic parameters at multiple noise levels. Statistical analysis of the generated gene expressions reveals the basin of attraction and stability of various phenotypic states and their changes associated with intrinsic and extrinsic noises. Application of the method to single cell expression data from synthetic circuits and epithelial-mesenchymal transition in squamous cell carcinoma shows its potential in yielding new insights on the structure and function of gene regulatory networks.