Akutsu T. Algorithms for Analysis, Inference, and Control of Boolean Networks

World Scientific Publishing, 2018. — 221 p. — ISBN: 978-981-3233-42-3.The Boolean network (BN) is a mathematical model of genetic networks and other biological networks. Although extensive studies have been done on BNs from a viewpoint of complex systems, not so many studies have been undertaken from a computational viewpoint. This book presents rigorous algorithmic results on important computational problems on BNs, which include inference of a BN, detection of singleton and periodic attractors in a BN, and control of a BN. This book also presents algorithmic results on fundamental computational problems on probabilistic Boolean networks and a Boolean model of metabolic networks. Although most contents of the book are based on the work by the author and collaborators, other important computational results and techniques are also reviewed or explained.Preliminaries
Boolean Networks
Detection of Attractors
Detection of Singleton Attractors
Detection of Periodic Attractors
Identification of Boolean Networks
Control of Boolean Networks
Predecessor and Observability Problems
Semi-Tensor Product Approach
Analysis of Metabolic Networks
Probabilistic Boolean Networks
Identification of Probabilistic Boolean Networks
Control of Probabilistic Boolean NetworksTrue PDF