Intercellular Variability in Protein Levels from Stochastic Expression and Noisy Cell Cycle Processes
Fig 3
A continuous-time Markov chain model for the cell-cycle time.
Left: The cell-cycle time is assumed to follow a mixture of Erlang distributions. At the start of cell cycle, a state Gi1, i = {1, …, n} is chosen with probability pi. The cell cycle transitions through states Gij, j = {1, …, i} residing for an exponentially distributed time with mean 1/ik in each state. Cell division occurs after exit from Gii and the above process is repeated.