BioinformaticsBMC BioinformaticsPeer-reviewed
Efficient construction of Markov state models for stochastic gene regulatory networks by domain decomposition
Maryam Yousefian, Anna-Simone Frank, Marcus Weber, Susanna Röblitz
The paper introduces a domain decomposition approach to efficiently compute Markov State Models for stochastic gene regulatory networks with uncertainty quantification.