Immunological Computation

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Immunological Computation

Author : Dipankar Dasgupta
Publisher : CRC Press
ISBN 13 : 9781420065466
Total Pages : 296 pages
Book Rating : 4.0/5 (654 download)

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Book Synopsis Immunological Computation by : Dipankar Dasgupta

Download or read book Immunological Computation written by Dipankar Dasgupta and published by CRC Press. This book was released on 2008-09-12 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: Clearly, nature has been very effective in creating organisms that are capable of protecting themselves against a wide variety of pathogens such as bacteria, fungi, and parasites. The powerful information-processing capabilities of the immune system, such as feature extraction, pattern recognition, learning, memory, and its distributive nature provide rich metaphors that researchers are finding very useful for the development of computational models. While some of these models are designed to give us a better understanding of the immune system, other models are being developed to solve complex real-world problems such as anomaly detection, pattern recognition, data analysis (clustering), function optimization, and computer security. Immunological Computation: Theory and Applications is devoted to discussing different immunological mechanisms and their relation to information processing and problem solving. This unique volume presents a compendium of up-to-date work related to immunity-based techniques. After presenting the general abstractions of immune elements and processes used in computational models, it then— Reviews standard procedures, representations, and matching rules that are used in all immunological computation models Covers the details of one of the earliest and most well-known immune algorithms, based on the negative selection (NS) process that occurs in the thymus Examines promising immune models, including those based on danger theory, cytokine network models, and MHC-based models The text goes further to describe a wide variety of applications, which include computer security, the detection and analysis of anomalies and faults, robotics, and data mining among others. To enhance understanding of this emerging field of study, each chapter includes a summary, review questions, and exercises for readers to practice; as well as issues that will require future research.

Computational Immunology

Author : Josep Bassaganya-Riera
Publisher : Academic Press
ISBN 13 : 0128037156
Total Pages : 210 pages
Book Rating : 4.1/5 (28 download)

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Book Synopsis Computational Immunology by : Josep Bassaganya-Riera

Download or read book Computational Immunology written by Josep Bassaganya-Riera and published by Academic Press. This book was released on 2015-10-21 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Immunology: Models and Tools encompasses the methodological framework and application of cutting-edge tools and techniques to study immunological processes at a systems level, along with the concept of multi-scale modeling. The book's emphasis is on selected cases studies and application of the most updated technologies in computational modeling, discussing topics such as computational modeling and its usage in immunological research, bioinformatics infrastructure, ODE based modeling, agent based modeling, and high performance computing, data analytics, and multiscale modeling. There are also modeling exercises using recent tools and models which lead the readers to a thorough comprehension and applicability. The book is a valuable resource for immunologists, computational biologists, bioinformaticians, biotechnologists, and computer scientists, as well as all those who wish to broaden their knowledge in systems modeling. Offers case studies with different levels of complexity Provides a detailed view on cutting-edge tools for modeling that are useful to experimentalists with limited computational skills Explores the usage of simulation for hypothesis generation, helping the reader to understand the most valuable points on experimental setting

Artificial Immune Systems: A New Computational Intelligence Approach

Author : Leandro Nunes de Castro
Publisher : Springer Science & Business Media
ISBN 13 : 1852335947
Total Pages : 380 pages
Book Rating : 4.8/5 (523 download)

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Book Synopsis Artificial Immune Systems: A New Computational Intelligence Approach by : Leandro Nunes de Castro

Download or read book Artificial Immune Systems: A New Computational Intelligence Approach written by Leandro Nunes de Castro and published by Springer Science & Business Media. This book was released on 2002-09-23 with total page 380 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Immune Systems (AIS) are adaptive systems inspired by the biological immune system and applied to problem solving. This book provides an accessible introduction that will be suitable for anyone who is beginning to study or work in this area. It gives a clear definition of an AIS, sets out the foundations of the topic (including basic algorithms), and analyses how the immune system relates to other biological systems and processes. No prior knowledge of immunology is needed - all the essential background information is covered in the introductory chapters. Key features of the book include: - A discussion of AIS in the context of Computational Intelligence; - Case studies in Autonomous Navigation, Computer Network Security, Job-Shop Scheduling and Data Analysis =B7 An extensive survey of applications; - A framework to help the reader design and understand AIS; - A web site with additional resources including pseudocodes for immune algorithms, and links to related sites. Written primarily for final year undergraduate and postgraduate students studying Artificial Intelligence, Evolutionary and Biologically Inspired Computing, this book will also be of interest to industrial and academic researchers working in related areas.

Immunological Bioinformatics

Author : Ole Lund
Publisher : MIT Press
ISBN 13 : 0262551128
Total Pages : 335 pages
Book Rating : 4.2/5 (625 download)

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Book Synopsis Immunological Bioinformatics by : Ole Lund

Download or read book Immunological Bioinformatics written by Ole Lund and published by MIT Press. This book was released on 2024-02-06 with total page 335 pages. Available in PDF, EPUB and Kindle. Book excerpt: Using bioinformatics methods to generate a systems-level view of the immune system; description of the main biological concepts and the new data-driven algorithms. Despite the fact that advanced bioinformatics methodologies have not been used as extensively in immunology as in other subdisciplines within biology, research in immunological bioinformatics has already developed models of components of the immune system that can be combined and that may help develop therapies, vaccines, and diagnostic tools for such diseases as AIDS, malaria, and cancer. In a broader perspective, specialized bioinformatics methods in immunology make possible for the first time a systems-level understanding of the immune system. The traditional approaches to immunology are reductionist, avoiding complexity but providing detailed knowledge of a single event, cell, or molecular entity. Today, a variety of experimental bioinformatics techniques connected to the sequencing of the human genome provides a sound scientific basis for a comprehensive description of the complex immunological processes. This book offers a description of bioinformatics techniques as they are applied to immunology, including a succinct account of the main biological concepts for students and researchers with backgrounds in mathematics, statistics, and computer science as well as explanations of the new data-driven algorithms in the context of biological data that will be useful for immunologists, biologists, and biochemists working on vaccine design. In each chapter the authors show interesting biological insights gained from the bioinformatics approach. The book concludes by explaining how all the methods presented in the book can be integrated to identify immunogenic regions in microorganisms and host genomes.

Killer Cell Dynamics

Author : Dominik Wodarz
Publisher : Springer Science & Business Media
ISBN 13 : 0387687335
Total Pages : 226 pages
Book Rating : 4.3/5 (876 download)

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Book Synopsis Killer Cell Dynamics by : Dominik Wodarz

Download or read book Killer Cell Dynamics written by Dominik Wodarz and published by Springer Science & Business Media. This book was released on 2007-04-05 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reviews how mathematical and computational approaches can be useful to help us understand how killer T-cell responses work to fight viral infections. It also demonstrates, in a writing style that exemplifies the point, that such mathematical and computational approaches are most valuable when coupled with experimental work through interdisciplinary collaborations. Designed to be useful to immunoligists and viroligists without extensive computational background, the book covers a broad variety of topics, including both basic immunological questions and the application of these insights to the understanding and treatment of pathogenic human diseases.

Computational Immunology

Author : Shyamasree Ghosh
Publisher : CRC Press
ISBN 13 : 1351023497
Total Pages : 201 pages
Book Rating : 4.3/5 (51 download)

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Book Synopsis Computational Immunology by : Shyamasree Ghosh

Download or read book Computational Immunology written by Shyamasree Ghosh and published by CRC Press. This book was released on 2020-01-31 with total page 201 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Immunology: Applications focuses on different mathematical models, statistical tools, techniques, and computational modelling that helps in understanding complex phenomena of the immune system and its biological functions. The book also focuses on the latest developments in computational biology in designing of drugs, targets, biomarkers for early detection and prognosis of a disease. It highlights the applications of computational methods in deciphering the complex processes of the immune system and its role in health and disease. This book discusses the most essential topics, including Next generation sequencing (NGS) and computational immunology Computational modelling and biology of diseases Drug designing Computation and identification of biomarkers Application in organ transplantation Application in disease detection and therapy Computational methods and applications in understanding of the invertebrate immune system S Ghosh is MSc, PhD, PGDHE, PGDBI, is PhD from IICB, CSIR, Kolkata, awarded the prestigious National Scholarship from the Government of India. She has worked and published extensively in glycobiology, sialic acids, immunology, stem cells and nanotechnology. She has authored several publications that include books and encyclopedia chapters in reputed journals and books.

Mathematical, Computational and Experimental T Cell Immunology

Author : Carmen Molina-París
Publisher : Springer Nature
ISBN 13 : 3030572048
Total Pages : 300 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Mathematical, Computational and Experimental T Cell Immunology by : Carmen Molina-París

Download or read book Mathematical, Computational and Experimental T Cell Immunology written by Carmen Molina-París and published by Springer Nature. This book was released on 2021-01-04 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mathematical, statistical, and computational methods enable multi-disciplinary approaches that catalyse discovery. Together with experimental methods, they identify key hypotheses, define measurable observables and reconcile disparate results. This volume collects a representative sample of studies in T cell immunology that illustrate the benefits of modelling-experimental collaborations and which have proven valuable or even ground-breaking. Studies include thymic selection, T cell repertoire diversity, T cell homeostasis in health and disease, T cell-mediated immune responses, T cell memory, T cell signalling and analysis of flow cytometry data sets. Contributing authors are leading scientists in the area of experimental, computational, and mathematical immunology. Each chapter includes state-of-the-art and pedagogical content, making this book accessible to readers with limited experience in T cell immunology and/or mathematical and computational modelling.

Methods and Applications of Computational Immunology

Author : Victor Greiff
Publisher : Frontiers Media SA
ISBN 13 : 2889633888
Total Pages : 358 pages
Book Rating : 4.8/5 (896 download)

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Book Synopsis Methods and Applications of Computational Immunology by : Victor Greiff

Download or read book Methods and Applications of Computational Immunology written by Victor Greiff and published by Frontiers Media SA. This book was released on 2020-01-30 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Computational Immunology

Author : Shyamasree Ghosh
Publisher : CRC Press
ISBN 13 : 135102552X
Total Pages : 363 pages
Book Rating : 4.3/5 (51 download)

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Book Synopsis Computational Immunology by : Shyamasree Ghosh

Download or read book Computational Immunology written by Shyamasree Ghosh and published by CRC Press. This book was released on 2019-10-14 with total page 363 pages. Available in PDF, EPUB and Kindle. Book excerpt: The immune system is highly complex system with large number of macromolecules, signaling pathways, protein-protein interactions, and gene expressions. Studies from genomics, transcriptomics, metabolomics are generating huge high throughput data that needs to be analyzed for understanding the Immune system in Health and Disease. Computational approaches arehelping in understanding the study of complex biology of immunology and thereby enabling design of therapeutic strategies in diseases like infectious diseases, immunodeficiency, allergic, hypersensitive, autoimmune disorders and diseases like Cancer, HIV etc. Computational Immunology: Basics highlights the basics of the immune system and function in health and disease. This book offers comprehensive coverage of the most essential topics, including Overview of Immunology and computational Immunology Immune organs and cells, antigen, antibody, B, cell, T cell Antigen Processing and presentation Diseases due to abnormalities of the immune system Cancer Biology Shyamasree Ghosh (MSc, PhD, PGDHE, PGDBI), is currently working in the School of Biological Sciences, National Institute of Science Education and Research (NISER), Bhubaneswar, DAE, Govt of India, graduated from the prestigious Presidency College Kolkata in 1998. She was awarded the prestigious National Scholarship from the Government of India. She has worked and published extensively in glycobiology, sialic acids, immunology, stem cells and nanotechnology. She has authored several publications that include books and encyclopedia chapters in reputed journals and books.

Artificial Immune Systems and Their Applications

Author : Dipankar Dasgupta
Publisher : Springer Science & Business Media
ISBN 13 : 364259901X
Total Pages : 318 pages
Book Rating : 4.6/5 (425 download)

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Book Synopsis Artificial Immune Systems and Their Applications by : Dipankar Dasgupta

Download or read book Artificial Immune Systems and Their Applications written by Dipankar Dasgupta and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a pioneering work on the emerging field of artificial immune systems-highly distributed systems based on the principles of the natural system. Like artificial neural networks, artificial immune systems can learn new information and recall previously learned information. This book provides an overview of artificial immune systems, explaining its applications in areas such as immunological memory, anomaly detection algorithms, and modeling the effects of prior infection on vaccine efficacy.

Conceptual Modelling in Computational Immunology

Author : Martina Husáková
Publisher : Tomáš Bruckner
ISBN 13 : 8087924029
Total Pages : 174 pages
Book Rating : 4.0/5 (879 download)

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Book Synopsis Conceptual Modelling in Computational Immunology by : Martina Husáková

Download or read book Conceptual Modelling in Computational Immunology written by Martina Husáková and published by Tomáš Bruckner. This book was released on 2015-09-10 with total page 174 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational immunology offers in silico strategies for understanding of complex processes occurring in the natural immune system of a living organism that are difficult to explore by traditional in vivo or in vitro techniques. The monograph introduces conceptual languages and approaches for modelling biological processes. The Agent Modelling Language is investigated for conceptualisation of immune processes. AML-based diagrams represent properties and processes occurring in a lymph node.

Immune system modeling and analysis

Author : Ramit Mehr
Publisher : Frontiers Media SA
ISBN 13 : 2889195015
Total Pages : 402 pages
Book Rating : 4.8/5 (891 download)

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Book Synopsis Immune system modeling and analysis by : Ramit Mehr

Download or read book Immune system modeling and analysis written by Ramit Mehr and published by Frontiers Media SA. This book was released on 2015-04-22 with total page 402 pages. Available in PDF, EPUB and Kindle. Book excerpt: The rapid development of new methods for immunological data collection – from multicolor flow cytometry, through single-cell imaging, to deep sequencing – presents us now, for the first time, with the ability to analyze and compare large amounts of immunological data in health, aging and disease. The exponential growth of these datasets, however, challenges the theoretical immunology community to develop methods for data organization and analysis. Furthermore, the need to test hypotheses regarding immune function, and generate predictions regarding the outcomes of medical interventions, necessitates the development of mathematical and computational models covering processes on multiple scales, from the genetic and molecular to the cellular and system scales. The last few decades have seen the development of methods for presentation and analysis of clonal repertoires (those of T and B lymphocytes) and phenotypic (surface-marker based) repertoires of all lymphocyte types, and for modeling the intricate network of molecular and cellular interactions within the immune systems. This e-Book, which has first appeared as a ‘Frontiers in Immunology’ research topic, provides a comprehensive, online, open access snapshot of the current state of the art on immune system modeling and analysis.

Artificial Immune Systems

Author : Pietro Lio
Publisher : Springer
ISBN 13 : 3642223710
Total Pages : 468 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Artificial Immune Systems by : Pietro Lio

Download or read book Artificial Immune Systems written by Pietro Lio and published by Springer. This book was released on 2011-07-06 with total page 468 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 10th International Conference on Artificial Immune Systems, ICARIS 2011, held in Cambridge, UK, in July 2011. The 37 revised full papers were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on immunoinformatics and computational immunology; theory of immunological computation; and applied immunological computation.

Integrative Computational Systems Biology Approaches in Immunology and Medicine

Author : Lars Kaderali
Publisher : Frontiers Media SA
ISBN 13 : 2889458016
Total Pages : 290 pages
Book Rating : 4.8/5 (894 download)

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Book Synopsis Integrative Computational Systems Biology Approaches in Immunology and Medicine by : Lars Kaderali

Download or read book Integrative Computational Systems Biology Approaches in Immunology and Medicine written by Lars Kaderali and published by Frontiers Media SA. This book was released on 2019-04-09 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Artificial Immune Systems

Author : Pietro Liáo
Publisher : Springer Science & Business Media
ISBN 13 : 3642223702
Total Pages : 449 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Artificial Immune Systems by : Pietro Liáo

Download or read book Artificial Immune Systems written by Pietro Liáo and published by Springer Science & Business Media. This book was released on 2011-07-06 with total page 449 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 10th International Conference on Artificial Immune Systems, ICARIS 2011, held in Cambridge, UK, in July 2011. The 37 revised full papers were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on immunoinformatics and computational immunology; theory of immunological computation; and applied immunological computation.

Theories of Immune Networks

Author : Henri Atlan
Publisher : Springer Science & Business Media
ISBN 13 : 3642839355
Total Pages : 123 pages
Book Rating : 4.6/5 (428 download)

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Book Synopsis Theories of Immune Networks by : Henri Atlan

Download or read book Theories of Immune Networks written by Henri Atlan and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 123 pages. Available in PDF, EPUB and Kindle. Book excerpt: For a long time, immunology has been dominated by the idea of a simple linear cause-effect relationship between the exposure to an antigen and the production of specific antibodies against that antigen. Clonal selection was the name of the theory based on this idea and it has provided the main concepts to account for the known features of the immune response. More recently, immunologists have discovered a wealth of new facts, in the form of different regulatory cells (helpers, suppressors, antigen presenting cells), genetic determinations of immune responses such as those involved in graft re jections, different molecular structures responsible for intercellular interactions such as interleukins, cytokins, idiotype-antiidiotype recognition and others. While furthering our understanding of the local interactions (molecular and cellular) in volved in the immune response, these discoveries have led to a questioning of the simplicities of the classical clonal selection theory. It is clear today that every single immune response is a cooperative phenomenon involving several different molecular and cellular interactions taking place in a coupled manner. In addition, cross reactivity to different antigens has shown that responses of the whole im mune system to different antigens are not completely isolated from one another and that the history of encounters with different antigens plays a crucial role in the maturation of the whole system. Thus, problems of complexity, generation of di versity and self-organization have entered the field of immunology.

Genetic and Evolutionary Computation--GECCO 2003

Author : Erick Cantú-Paz
Publisher : Springer Science & Business Media
ISBN 13 : 3540406026
Total Pages : 1294 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Genetic and Evolutionary Computation--GECCO 2003 by : Erick Cantú-Paz

Download or read book Genetic and Evolutionary Computation--GECCO 2003 written by Erick Cantú-Paz and published by Springer Science & Business Media. This book was released on 2003-07-08 with total page 1294 pages. Available in PDF, EPUB and Kindle. Book excerpt: The set LNCS 2723 and LNCS 2724 constitutes the refereed proceedings of the Genetic and Evolutionaty Computation Conference, GECCO 2003, held in Chicago, IL, USA in July 2003. The 193 revised full papers and 93 poster papers presented were carefully reviewed and selected from a total of 417 submissions. The papers are organized in topical sections on a-life adaptive behavior, agents, and ant colony optimization; artificial immune systems; coevolution; DNA, molecular, and quantum computing; evolvable hardware; evolutionary robotics; evolution strategies and evolutionary programming; evolutionary sheduling routing; genetic algorithms; genetic programming; learning classifier systems; real-world applications; and search based softare engineering.