External control of probabilistic boolean networks using inhomogeneous Markov chains

Probabilistic Boolean networks (PBNs) can be used as models for determining therapeutic intervention strategies that reduce the likelihood of aberrant cellular dynamics occurring. Since PBN dynamics can be modeled by Markov chains canonical approaches to control of PBNs have included dynamic-programming based methods. This paper presents an alternative approach exploiting inhomogeneous Markov chains.