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Fuzzy Systems in Bioinformatics and Computational Biology

Fuzzy Systems in Bioinformatics and Computational Biology
Author: Yaochu Jin
Publisher: Springer Science & Business Media
Total Pages: 336
Release: 2009-04-15
Genre: Computers
ISBN: 3540899677
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Biological systems are inherently stochastic and uncertain. Thus, research in bioinformatics, biomedical engineering and computational biology has to deal with a large amount of uncertainties. Fuzzy logic has shown to be a powerful tool in capturing different uncertainties in engineering systems. In recent years, fuzzy logic based modeling and analysis approaches are also becoming popular in analyzing biological data and modeling biological systems. Numerous research and application results have been reported that demonstrated the effectiveness of fuzzy logic in solving a wide range of biological problems found in bioinformatics, biomedical engineering, and computational biology. Contributed by leading experts world-wide, this edited book contains 16 chapters presenting representative research results on the application of fuzzy systems to genome sequence assembly, gene expression analysis, promoter analysis, cis-regulation logic analysis and synthesis, reconstruction of genetic and cellular networks, as well as biomedical problems, such as medical image processing, electrocardiogram data classification and anesthesia monitoring and control. This volume is a valuable reference for researchers, practitioners, as well as graduate students working in the field of bioinformatics, biomedical engineering and computational biology.

Applications of Fuzzy Logic in Bioinformatics

Applications of Fuzzy Logic in Bioinformatics
Author: Dong Xu
Publisher: Imperial College Press
Total Pages: 246
Release: 2008
Genre: Computers
ISBN: 1848162596
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Many biological systems and objects are intrinsically fuzzy as their properties and behaviors contain randomness or uncertainty. In addition, it has been shown that exact or optimal methods have significant limitation in many bioinformatics problems. Fuzzy set theory and fuzzy logic are ideal to describe some biological systems/objects and provide good tools for some bioinformatics problems. This book comprehensively addresses several important bioinformatics topics using fuzzy concepts and approaches, including measurement of ontological similarity, protein structure prediction/analysis, and microarray data analysis. It also reviews other bioinformatics applications using fuzzy techniques.

Fuzzy Systems Engineering

Fuzzy Systems Engineering
Author: Witold Pedrycz
Publisher: John Wiley & Sons
Total Pages: 550
Release: 2007-10-12
Genre: Technology & Engineering
ISBN: 0470168951
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A self-contained treatment of fuzzy systems engineering, offering conceptual fundamentals, design methodologies, development guidelines, and carefully selected illustrative material Forty years have passed since the birth of fuzzy sets, in which time a wealth of theoretical developments, conceptual pursuits, algorithmic environments, and other applications have emerged. Now, this reader-friendly book presents an up-to-date approach to fuzzy systems engineering, covering concepts, design methodologies, and algorithms coupled with interpretation, analysis, and underlying engineering knowledge. The result is a holistic view of fuzzy sets as a fundamental component of computational intelligence and human-centric systems. Throughout the book, the authors emphasize the direct applicability and limitations of the concepts being discussed, and historical and bibliographical notes are included in each chapter to help readers view the developments of fuzzy sets from a broader perspective. A radical departure from current books on the subject, Fuzzy Systems Engineering presents fuzzy sets as an enabling technology whose impact, contributions, and methodology stretch far beyond any specific discipline, making it applicable to researchers and practitioners in engineering, computer science, business, medicine, bioinformatics, and computational biology. Additionally, three appendices and classroom-ready electronic resources make it an ideal textbook for advanced undergraduate- and graduate-level courses in engineering and science.

Applications of Fuzzy Logic in Bioinformatics

Applications of Fuzzy Logic in Bioinformatics
Author: Dong Xu
Publisher: World Scientific
Total Pages: 246
Release: 2008
Genre: Computers
ISBN: 1848162588
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A man disappears. The woman who loves him is left scarred and haunted. In her fierce, one-of-a-kind debut, Rebecca Lindenberg tells the story—in verse—of her passionate relationship with Craig Arnold, a much-respected poet who disappeared in 2009 while hiking a volcano in Japan. Lindenberg’s billowing, I-contain-multitudes style lays bare the poet’s sadnesses, joys, and longings in poems that are lyric and narrative, at once plainspoken and musically elaborate. Regarding her role in Arnold’s story, Lindenberg writes with clear-eyed humility and endearing dignity: “The girl with the ink-stained teeth / knows she’s famous / in a tiny, tragic way. / She’s not / daft, after all.” And then later, playfully, of her travels in Italy with the poet, her lover: “The carabinieri / wanted to know if there were bears / in our part of America. Yes, we said, / many bears. Man-eating bears? Yes, of course, / many man-eating bears.” Every poem in this collection bursts with humor, pathos, verve—and an utterly unique, soulful voice. This widely anticipated debut, already selected as a finalist for several prominent book awards, marks the first collection in the newly minted McSweeney’s Poetry Series. MPS is an imprint which seeks to publish a broad range of excellent new poetry collections in exquisitely designed hardcovers—poetry that’s useful and meaningful to anyone in any walk of life.

Fuzzy Logic in Medicine

Fuzzy Logic in Medicine
Author: Senen Barro
Publisher: Physica
Total Pages: 320
Release: 2013-03-20
Genre: Medical
ISBN: 3790818046
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To say that Fuzzy Logic in Medicine, or FLM for short, is an important addi tion to the literature of fuzzy logic and its applications, is an understatement. Edited by two prominent informaticians, Professors S. Barro and R. Marin, it is one of the first books in its field. Between its covers, FLM presents authoritative expositions of a wide spectrum of medical and biological ap plications of fuzzy logic, ranging from image classification and diagnostics to anaesthesia control and risk assessment of heart diseases. As the editors note in the preface, recognition of the relevance of fuzzy set theory and fuzzy logic to biological and medical systems has a long history. In this context, particularly worthy of note is the pioneering work of Profes sor Klaus Peter Adlassnig of the University of Vienna School of Medicine. However, it is only within the past decade that we began to see an accelerat ing growth in the visibility and importance of publications falling under the rubric of fuzzy logic in medicine and biology -a leading example of which is the Journal of the Biomedical Fuzzy Systems Association in Japan. Why did it take so long for this to happen? First, a bit of history.

Fuzzy Logic Applications in Computer Science and Mathematics

Fuzzy Logic Applications in Computer Science and Mathematics
Author: Rahul Kar
Publisher: John Wiley & Sons
Total Pages: 308
Release: 2023-10-24
Genre: Mathematics
ISBN: 1394174535
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FUZZY LOGIC APPLICATIONS IN COMPUTER SCIENCE AND MATHEMATICSTICS The prime objective of developing this book is to provide meticulous details about the basic and advanced concepts of fuzzy logic and its all-around applications to different fields of mathematics and engineering. The basic steps of fuzzy inference systems starting from the core foundation of the fuzzy concepts are presented in this book. The fuzzy theory is a mathematical concept and, at the same time, it is applied to many versatile engineering fields and research domains related to computer science. The fuzzy system offers some knowledge about uncertainty and is also related to the theory of probability. A fuzzy logic-based model acts as the classifier for many different types of data belonging to several classes. Covered in this book are topics such as the fundamental concepts of mathematics, fuzzy logic concepts, probability and possibility theories, and evolutionary computing to some extent. The combined fields of neural network and fuzzy domain (known as the neuro-fuzzy system) are explained and elaborated. Each chapter has been produced in a very lucid manner, with grading from simple to complex to accommodate the anticipated different audiences. The application-oriented approach is the unique feature of this book. Audience This book will be read and used by a broad audience including applied mathematicians, computer scientists, and industry engineers.

Fuzzy Systems Engineering

Fuzzy Systems Engineering
Author: Stanley Lawrence
Publisher: Createspace Independent Publishing Platform
Total Pages: 428
Release: 2017-03
Genre:
ISBN: 9781979432870
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Throughout the book, the author emphasize the direct applicability and limitations of the concepts being discussed, and historical and bibliographical notes are included in each chapter to help readers view the developments of fuzzy sets from a broader perspective. A radical departure from current books on the subject, Fuzzy Systems Engineering presents fuzzy sets as an enabling technology whose impact, contributions, and methodology stretch far beyond any specific discipline, making it applicable to researchers and practitioners in engineering, computer science, business, medicine, bioinformatics, and computational biology. Additionally, three appendices and classroom-ready electronic resources make it an ideal textbook for advanced undergraduate- and graduate-level courses in engineering and science.

Computational Systems Bioinformatics - Methods And Biomedical Applications

Computational Systems Bioinformatics - Methods And Biomedical Applications
Author: Wong Stephen Tin Chi
Publisher: World Scientific Publishing Company
Total Pages: 400
Release: 2008-01-02
Genre: Science
ISBN: 9813106999
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Computational systems biology is a new and rapidly developing field of research, concerned with understanding the structure and processes of biological systems at the molecular, cellular, tissue, and organ levels through computational modeling as well as novel information theoretic data and image analysis methods. By focusing on either information processing of biological data or on modeling physical and chemical processes of biosystems, and in combination with the recent breakthrough in deciphering the human genome, computational systems biology is guaranteed to play a central role in disease prediction and preventive medicine, gene technology and pharmaceuticals, and other biotechnology fields.This book begins by introducing the basic mathematical, statistical, and data mining principles of computational systems biology, and then presents bioinformatics technology in microarray and sequence analysis step-by-step. Offering an insightful look into the effectiveness of the systems approach in computational biology, it focuses on recurrent themes in bioinformatics, biomedical applications, and future directions for research.

Fundamentals of Bioinformatics and Computational Biology

Fundamentals of Bioinformatics and Computational Biology
Author: Gautam B. Singh
Publisher: Springer
Total Pages: 345
Release: 2014-09-24
Genre: Technology & Engineering
ISBN: 3319114034
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This book offers comprehensive coverage of all the core topics of bioinformatics, and includes practical examples completed using the MATLAB bioinformatics toolboxTM. It is primarily intended as a textbook for engineering and computer science students attending advanced undergraduate and graduate courses in bioinformatics and computational biology. The book develops bioinformatics concepts from the ground up, starting with an introductory chapter on molecular biology and genetics. This chapter will enable physical science students to fully understand and appreciate the ultimate goals of applying the principles of information technology to challenges in biological data management, sequence analysis, and systems biology. The first part of the book also includes a survey of existing biological databases, tools that have become essential in today’s biotechnology research. The second part of the book covers methodologies for retrieving biological information, including fundamental algorithms for sequence comparison, scoring, and determining evolutionary distance. The main focus of the third part is on modeling biological sequences and patterns as Markov chains. It presents key principles for analyzing and searching for sequences of significant motifs and biomarkers. The last part of the book, dedicated to systems biology, covers phylogenetic analysis and evolutionary tree computations, as well as gene expression analysis with microarrays. In brief, the book offers the ideal hands-on reference guide to the field of bioinformatics and computational biology.

Computational Systems Bioinformatics

Computational Systems Bioinformatics
Author: Xiaobo Zhou
Publisher: World Scientific
Total Pages: 398
Release: 2008
Genre: Science
ISBN: 9812707042
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Computational systems biology is a new and rapidly developing field of research, concerned with understanding the structure and processes of biological systems at the molecular, cellular, tissue, and organ levels through computational modeling as well as novel information theoretic data and image analysis methods. By focusing on either information processing of biological data or on modeling physical and chemical processes of biosystems, and in combination with the recent breakthrough in deciphering the human genome, computational systems biology is guaranteed to play a central role in disease prediction and preventive medicine, gene technology and pharmaceuticals, and other biotechnology fields. This book begins by introducing the basic mathematical, statistical, and data mining principles of computational systems biology, and then presents bioinformatics technology in microarray and sequence analysis step-by-step. Offering an insightful look into the effectiveness of the systems approach in computational biology, it focuses on recurrent themes in bioinformatics, biomedical applications, and future directions for research.