This study presents a detailed survey on recent development of logical networks and its
applications, including the background of logical networks, the theory of a new matrix …

State feedback stabilization for Boolean control networks is investigated in this technical
note. Based on the algebraic representation of logical dynamics in terms of the semi-tensor …

It was around the period of World War II that Arturo Rosenblueth and Norbert Wiener were
taking the first steps in the direction of systems medicine. They formed an interesting pair …

This paper presents a general theoretical framework for generating Boolean networks
whose state transitions realize a set of given biological pathways or minor variations thereof …

Background Various computational models have been of interest due to their use in the
modelling of gene regulatory networks (GRNs). As a logical model, probabilistic Boolean …

A major reason for constructing gene regulatory networks is to use them as models for
determining therapeutic intervention strategies by deriving ways of altering their long-run …

A Boolean network is one of the models of biological networks such as gene regulatory
networks, and has been extensively studied. In particular, a probabilistic Boolean network …

Developing control theory of gene regulatory networks is one of the significant topics in the
field of systems biology, and it is expected to apply the obtained results to gene therapy …

In this study, the authors consider the stability and stabilisation issues of context‐sensitive
probabilistic Boolean networks. Firstly, the algebraic form of the system is obtained by using …

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 …