Interventions in gene regulatory networks (GRNs) aim to restore normal functions of cells
experiencing abnormal behavior, such as uncontrolled cell proliferation. The dynamic …

Motivation: A basic problem of translational systems biology is to utilize gene regulatory
networks as a vehicle to design therapeutic intervention strategies to beneficially alter …

A key objective of gene network modeling is to develop intervention strategies to alter
regulatory dynamics in such a way as to reduce the likelihood of undesirable phenotypes …

Perfect knowledge of the underlying state transition probabilities is necessary for designing
an optimal intervention strategy for a given Markovian genetic regulatory network. However …

Motivation: Gene regulatory networks serve as models from which to derive therapeutic
intervention strategies, in particular, stationary control policies over time that shift the …

A salient purpose for studying gene regulatory networks is to derive intervention strategies to
identify potential drug targets and design gene-based therapeutic intervention. Optimal and …

Motivation: A major objective of gene regulatory network modeling, in addition to gaining a
deeper understanding of genetic regulation and control, is the development of …

Background A salient purpose for studying gene regulatory networks is to derive intervention
strategies, the goals being to identify potential drug targets and design gene-based …

Boolean networks and, more generally, probabilistic Boolean networks, as one class of
gene regulatory networks, model biological processes with the network dynamics …

Motivation: A basic issue for translational genomics is to model gene interaction via gene
regulatory networks (GRNs) and thereby provide an informatics environment to study the …