Erratum: Metabolically constrained regulatory networks

Optimal Constrained Stationary Intervention in Gene Regulatory Networks

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. Optimal stationary intervention policies have been developed for gene regulation in the framework of probabilistic Boolean networks in a number of settings. To mitigate the possibility of detrimental side effects, for in...

Regulatory Constrained Portfolio Restructuring

The US department store industry has undergone a recent round of strategic acquisition-based portfolio restructuring. This paper analyses one such acquisition, studying how its geography is restructured in the premerger stage to conform to the Federal Trade Commission's 'fix-it-first' policy and to improve the strategic fit of the transaction. The article then investigates evidence, and analyse...

H∞ Sampled-Data Controller Design for Stochastic Genetic Regulatory Networks

Artificially regulating gene expression is an important step in developing new treatment for system-level disease such as cancer. In this paper, we propose a method to regulate gene expression based on sampled-data measurements of gene products concentrations. Inherent noisy behaviour of Gene regulatory networks are modeled with stochastic nonlinear differential equation. To synthesize feed...

Interdependent Security Game Design over Constrained Linear Influence Networks

In today's highly interconnected networks, security of the entities are often interdependent. This means security decisions of the agents are not only influenced by their own costs and constraints, but also are affected by their neighbors’ decisions. Game theory provides a rich set of tools to analyze such influence networks. In the game model, players try to maximize their utilities through se...

Erratum