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Download or read book The Complexity of Boolean Networks written by Paul E. Dunne and published by . This book was released on 1988 with total page 526 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author: Ilya Shmulevich
Publisher: SIAM
Published: 2010-01-21
Total Pages: 276
ISBN-13: 0898716926
DOWNLOAD EBOOKThe first comprehensive treatment of probabilistic Boolean networks, unifying different strands of current research and addressing emerging issues.
Download or read book Probabilistic Boolean Networks written by Ilya Shmulevich and published by SIAM. This book was released on 2010-01-21 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first comprehensive treatment of probabilistic Boolean networks, unifying different strands of current research and addressing emerging issues.
Download or read book The Complexity of Boolean Functions written by Ingo Wegener and published by . This book was released on 1987 with total page 502 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author: Akutsu Tatsuya
Publisher: World Scientific
Published: 2018-02-13
Total Pages: 228
ISBN-13: 9813233443
DOWNLOAD EBOOKThe 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. Contents: 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 Networks Readership: Graduate students and researchers working on string theory and related topics. Keywords: Boolean Networks;Bioinformatics;Systems Biology;Combinatorial Algorithms;AttractorsReview: Key Features: Unique book focusing on computational aspects of Boolean networks Provide computational foundations on Boolean networks Contain recent and up-to-date results on algorithms for Boolean networks
Download or read book Algorithms For Analysis, Inference, And Control Of Boolean Networks written by Akutsu Tatsuya and published by World Scientific. This book was released on 2018-02-13 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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. Contents: 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 Networks Readership: Graduate students and researchers working on string theory and related topics. Keywords: Boolean Networks;Bioinformatics;Systems Biology;Combinatorial Algorithms;AttractorsReview: Key Features: Unique book focusing on computational aspects of Boolean networks Provide computational foundations on Boolean networks Contain recent and up-to-date results on algorithms for Boolean networks
Download or read book Size-time Complexity of Boolean Networks for Prefix Computations written by Gianfranco Bilardi and published by . This book was released on 1987 with total page 15 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author: Ilya Shmulevich
Publisher: SIAM
Published: 2010-01-01
Total Pages: 277
ISBN-13: 0898717639
DOWNLOAD EBOOKThis is the first comprehensive treatment of probabilistic Boolean networks (PBNs), an important model class for studying genetic regulatory networks. This book covers basic model properties, including the relationships between network structure and dynamics, steady-state analysis, and relationships to other model classes." "Researchers in mathematics, computer science, and engineering are exposed to important applications in systems biology and presented with ample opportunities for developing new approaches and methods. The book is also appropriate for advanced undergraduates, graduate students, and scientists working in the fields of computational biology, genomic signal processing, control and systems theory, and computer science.
Download or read book Probabilistic Boolean Networks written by Ilya Shmulevich and published by SIAM. This book was released on 2010-01-01 with total page 277 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the first comprehensive treatment of probabilistic Boolean networks (PBNs), an important model class for studying genetic regulatory networks. This book covers basic model properties, including the relationships between network structure and dynamics, steady-state analysis, and relationships to other model classes." "Researchers in mathematics, computer science, and engineering are exposed to important applications in systems biology and presented with ample opportunities for developing new approaches and methods. The book is also appropriate for advanced undergraduates, graduate students, and scientists working in the fields of computational biology, genomic signal processing, control and systems theory, and computer science.
Author: David P. Rosin
Publisher: Springer
Published: 2014-12-31
Total Pages: 208
ISBN-13: 3319135783
DOWNLOAD EBOOKThis thesis focuses on the dynamics of autonomous Boolean networks, on the basis of Boolean logic functions in continuous time without external clocking. These networks are realized with integrated circuits on an electronic chip as a field programmable gate array (FPGA) with roughly 100,000 logic gates, offering an extremely flexible model system. It allows fast and cheap design cycles and large networks with arbitrary topologies and coupling delays. The author presents pioneering results on theoretical modeling, experimental realization, and selected applications. In this regard, three classes of novel dynamic behavior are investigated: (i) Chaotic Boolean networks are proposed as high-speed physical random number generators with high bit rates. (ii) Networks of periodic Boolean oscillators are home to long-living transient chimera states, i.e., novel patterns of coexisting domains of spatially coherent (synchronized) and incoherent (desynchronized) dynamics. (iii) Excitable networks exhibit cluster synchronization and can be used as fast artificial Boolean neurons whose spiking patterns can be controlled. This work presents the first experimental platform for large complex networks, which will facilitate exciting future developments.
Download or read book Dynamics of Complex Autonomous Boolean Networks written by David P. Rosin and published by Springer. This book was released on 2014-12-31 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis focuses on the dynamics of autonomous Boolean networks, on the basis of Boolean logic functions in continuous time without external clocking. These networks are realized with integrated circuits on an electronic chip as a field programmable gate array (FPGA) with roughly 100,000 logic gates, offering an extremely flexible model system. It allows fast and cheap design cycles and large networks with arbitrary topologies and coupling delays. The author presents pioneering results on theoretical modeling, experimental realization, and selected applications. In this regard, three classes of novel dynamic behavior are investigated: (i) Chaotic Boolean networks are proposed as high-speed physical random number generators with high bit rates. (ii) Networks of periodic Boolean oscillators are home to long-living transient chimera states, i.e., novel patterns of coexisting domains of spatially coherent (synchronized) and incoherent (desynchronized) dynamics. (iii) Excitable networks exhibit cluster synchronization and can be used as fast artificial Boolean neurons whose spiking patterns can be controlled. This work presents the first experimental platform for large complex networks, which will facilitate exciting future developments.
Author: Samuli Niiranen
Publisher: Springer Science & Business Media
Published: 2011-03-10
Total Pages: 234
ISBN-13: 3642196217
DOWNLOAD EBOOKLiving beings require constant information processing for survival. In cells, information is being processed and propagated at various levels, from the gene regulatory network to chemical pathways, to the interaction with the environment. How this is achieved and how information is coded is still poorly understood. For example, what a cell interprets as information in the temporal level of an mRNA and what is interpreted as noise remains an open question. Recently, information theoretical methods and other tools, developed in the context of engineering and natural sciences, have been applied to study diverse biological processes. This book covers the latest findings on how information is processed in various biological processes, ranging from information processing and propagation in gene regulatory networks to information processing in natural language. An overview is presented of the state-of-the-art in information processing in biological systems and the opinion of current leaders in this research field on future research directions.
Download or read book Information Processing and Biological Systems written by Samuli Niiranen and published by Springer Science & Business Media. This book was released on 2011-03-10 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt: Living beings require constant information processing for survival. In cells, information is being processed and propagated at various levels, from the gene regulatory network to chemical pathways, to the interaction with the environment. How this is achieved and how information is coded is still poorly understood. For example, what a cell interprets as information in the temporal level of an mRNA and what is interpreted as noise remains an open question. Recently, information theoretical methods and other tools, developed in the context of engineering and natural sciences, have been applied to study diverse biological processes. This book covers the latest findings on how information is processed in various biological processes, ranging from information processing and propagation in gene regulatory networks to information processing in natural language. An overview is presented of the state-of-the-art in information processing in biological systems and the opinion of current leaders in this research field on future research directions.
Download or read book An improved complexity hierarchy on the Boolean network complexity and formula size of Boolean functions written by Ingo Wegener and published by . This book was released on 1984 with total page 5 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author: Daizhan Cheng
Publisher: Springer Science & Business Media
Published: 2010-11-23
Total Pages: 474
ISBN-13: 0857290975
DOWNLOAD EBOOKAnalysis and Control of Boolean Networks presents a systematic new approach to the investigation of Boolean control networks. The fundamental tool in this approach is a novel matrix product called the semi-tensor product (STP). Using the STP, a logical function can be expressed as a conventional discrete-time linear system. In the light of this linear expression, certain major issues concerning Boolean network topology – fixed points, cycles, transient times and basins of attractors – can be easily revealed by a set of formulae. This framework renders the state-space approach to dynamic control systems applicable to Boolean control networks. The bilinear-systemic representation of a Boolean control network makes it possible to investigate basic control problems including controllability, observability, stabilization, disturbance decoupling etc.
Download or read book Analysis and Control of Boolean Networks written by Daizhan Cheng and published by Springer Science & Business Media. This book was released on 2010-11-23 with total page 474 pages. Available in PDF, EPUB and Kindle. Book excerpt: Analysis and Control of Boolean Networks presents a systematic new approach to the investigation of Boolean control networks. The fundamental tool in this approach is a novel matrix product called the semi-tensor product (STP). Using the STP, a logical function can be expressed as a conventional discrete-time linear system. In the light of this linear expression, certain major issues concerning Boolean network topology – fixed points, cycles, transient times and basins of attractors – can be easily revealed by a set of formulae. This framework renders the state-space approach to dynamic control systems applicable to Boolean control networks. The bilinear-systemic representation of a Boolean control network makes it possible to investigate basic control problems including controllability, observability, stabilization, disturbance decoupling etc.
