Probabilistic Boolean Networks (PBNs) were recently introduced as models of gene
regulatory networks. The dynamical behavior of PBNs, which are probabilistic …

Motivation: Intervention in a gene regulatory network is used to help it avoid undesirable
states, such as those associated with a disease. Several types of intervention have been …

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 …

Abstract Probabilistic Boolean Networks (PBN's) have been recently introduced as a rule-
based paradigm for modeling gene regulatory networks. Such networks, which form a …

Motivation: A key goal of studying biological systems is to design therapeutic intervention
strategies. Probabilistic Boolean networks (PBNs) constitute a mathematical model which …

Abstract Probabilistic Boolean networks (PBNs) have recently been introduced as a
promising class of models of genetic regulatory networks. The dynamic behaviour of PBNs …

Probabilistic Boolean network (PBN) modelling is a semi-quantitative approach widely used
for the study of the topology and dynamic aspects of biological systems. The combined use …

This article aims to stabilize probabilistic Boolean networks (PBNs) via a novel pinning
control strategy. In a PBN, the state evolution of each gene switches among a collection of …

Probabilistic Boolean networks (PBNs) have been recently introduced as a paradigm for
modeling genetic regulatory networks. One of the objectives of PBN modeling is to use the …

Abstract Probabilistic Boolean Networks, which form a subclass of Markovian Genetic
Regulatory Networks, have been recently introduced as a rule-based paradigm for modeling …