Algorithms For Analysis, Inference, And Control Of Boolean NetworksКНИГИ » ЕСТЕСТВЕННЫЕ НАУКИ
Название: Algorithms For Analysis, Inference, And Control Of Boolean Networks Автор: Tatsuya Akutsu Издательство: World Scientific Publishing Co Pte Ltd Год: 2018 ISBN: 9789813233423 Формат: pdf Страниц: 250 Размер: 10,6 mb Язык: English
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.
The main target readers of this book are graduate students and researchers studying bioinformatics and computational biology.
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Algorithms For Analysis, Inference, And Control Of Boolean Networks 
