Applications Of Computational Intelligence In Biology

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Applications of Computational Intelligence in Biology

Tomasz G. Smolinski,Mariofanna G. Milanova,Aboul-Ella Hassanien
Applications of Computational Intelligence in Biology Book PDF

Author : Tomasz G. Smolinski,Mariofanna G. Milanova,Aboul-Ella Hassanien
Publisher : Springer
Page : 428 pages
File Size : 41,9 Mb
Release : 2009-08-29
Category : Mathematics
ISBN : 3540849262

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Applications of Computational Intelligence in Biology by Tomasz G. Smolinski,Mariofanna G. Milanova,Aboul-Ella Hassanien Pdf

Computational Intelligence (CI) has been a tremendously active area of - search for the past decade or so. There are many successful applications of CI in many sub elds of biology, including bioinformatics, computational - nomics, protein structure prediction, or neuronal systems modeling and an- ysis. However, there still are many open problems in biology that are in d- perate need of advanced and e cient computational methodologies to deal with tremendous amounts of data that those problems are plagued by. - fortunately, biology researchers are very often unaware of the abundance of computational techniques that they could put to use to help them analyze and understand the data underlying their research inquiries. On the other hand, computational intelligence practitioners are often unfamiliar with the part- ular problems that their new, state-of-the-art algorithms could be successfully applied for. The separation between the two worlds is partially caused by the use of di erent languages in these two spheres of science, but also by the relatively small number of publications devoted solely to the purpose of fac- itating the exchange of new computational algorithms and methodologies on one hand, and the needs of the biology realm on the other. The purpose of this book is to provide a medium for such an exchange of expertise and concerns. In order to achieve the goal, we have solicited cont- butions from both computational intelligence as well as biology researchers.

Practical Applications of Computational Biology & Bioinformatics, 14th International Conference (PACBB 2020)

Gabriella Panuccio,Miguel Rocha,Florentino Fdez-Riverola,Mohd Saberi Mohamad,Roberto Casado-Vara
Practical Applications of Computational Biology Bioinformatics 14th International Conference PACBB 2020 Book PDF

Author : Gabriella Panuccio,Miguel Rocha,Florentino Fdez-Riverola,Mohd Saberi Mohamad,Roberto Casado-Vara
Publisher : Springer
Page : 216 pages
File Size : 55,6 Mb
Release : 2021-07-24
Category : Technology & Engineering
ISBN : 3030545709

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Practical Applications of Computational Biology & Bioinformatics, 14th International Conference (PACBB 2020) by Gabriella Panuccio,Miguel Rocha,Florentino Fdez-Riverola,Mohd Saberi Mohamad,Roberto Casado-Vara Pdf

This book highlights the latest research on practical applications of computational biology and bioinformatics, and addresses emerging experimental and sequencing techniques that are posing new challenges for bioinformatics and computational biology. Successfully applying these techniques calls for new algorithms and approaches from fields such as statistics, data mining, machine learning, optimization, computer science, and artificial intelligence. In response to these challenges, we have seen the rise of a new generation of interdisciplinary scientists with a strong background in the biological and computational sciences.These proceedings include 21 papers covering many different subfields of bioinformatics and computational biology. Focusing on interdisciplinary applications that combine e.g. bioinformatics, chemoinformatics, and system biology, they are intended to promote the collaboration of scientists from different research groups and with different backgrounds (computer scientists, mathematicians, biologists) to reach breakthrough solutions and overcome the challenges outlined above.

Computational Intelligence in Bioinformatics

Gary B. Fogel,David W. Corne,Yi Pan
Computational Intelligence in Bioinformatics Book PDF

Author : Gary B. Fogel,David W. Corne,Yi Pan
Publisher : John Wiley & Sons
Page : 377 pages
File Size : 42,8 Mb
Release : 2007-12-10
Category : Computers
ISBN : 9780470199084

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Computational Intelligence in Bioinformatics by Gary B. Fogel,David W. Corne,Yi Pan Pdf

Combining biology, computer science, mathematics, and statistics, the field of bioinformatics has become a hot new discipline with profound impacts on all aspects of biology and industrial application. Now, Computational Intelligence in Bioinformatics offers an introduction to the topic, covering the most relevant and popular CI methods, while also encouraging the implementation of these methods to readers' research.

Applications of Computational Intelligence in Biology

Tomasz G. Smolinski,Mariofanna G. Milanova,Aboul-Ella Hassanien
Applications of Computational Intelligence in Biology Book PDF

Author : Tomasz G. Smolinski,Mariofanna G. Milanova,Aboul-Ella Hassanien
Publisher : Springer
Page : 428 pages
File Size : 48,9 Mb
Release : 2008-05-27
Category : Technology & Engineering
ISBN : 9783540785347

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Applications of Computational Intelligence in Biology by Tomasz G. Smolinski,Mariofanna G. Milanova,Aboul-Ella Hassanien Pdf

Computational Intelligence (CI) has been a tremendously active area of - search for the past decade or so. There are many successful applications of CI in many sub elds of biology, including bioinformatics, computational - nomics, protein structure prediction, or neuronal systems modeling and an- ysis. However, there still are many open problems in biology that are in d- perate need of advanced and e cient computational methodologies to deal with tremendous amounts of data that those problems are plagued by. - fortunately, biology researchers are very often unaware of the abundance of computational techniques that they could put to use to help them analyze and understand the data underlying their research inquiries. On the other hand, computational intelligence practitioners are often unfamiliar with the part- ular problems that their new, state-of-the-art algorithms could be successfully applied for. The separation between the two worlds is partially caused by the use of di erent languages in these two spheres of science, but also by the relatively small number of publications devoted solely to the purpose of fac- itating the exchange of new computational algorithms and methodologies on one hand, and the needs of the biology realm on the other. The purpose of this book is to provide a medium for such an exchange of expertise and concerns. In order to achieve the goal, we have solicited cont- butions from both computational intelligence as well as biology researchers.

Application of Computational Intelligence to Biology

Ravi Bhramaramba,Akula Chandra Sekhar
Application of Computational Intelligence to Biology Book PDF

Author : Ravi Bhramaramba,Akula Chandra Sekhar
Publisher : Springer
Page : 102 pages
File Size : 54,8 Mb
Release : 2016-05-06
Category : Technology & Engineering
ISBN : 9789811003912

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Application of Computational Intelligence to Biology by Ravi Bhramaramba,Akula Chandra Sekhar Pdf

This book is a contribution of translational and allied research to the proceedings of the International Conference on Computational Intelligence and Soft Computing. It explains how various computational intelligence techniques can be applied to investigate various biological problems. It is a good read for Research Scholars, Engineers, Medical Doctors and Bioinformatics researchers.

Practical Applications of Computational Biology and Bioinformatics, 13th International Conference

Florentino Fdez-Riverola,Miguel Rocha,Mohd Saberi Mohamad,Nazar Zaki,José A. Castellanos-Garzón
Practical Applications of Computational Biology and Bioinformatics 13th International Conference Book PDF

Author : Florentino Fdez-Riverola,Miguel Rocha,Mohd Saberi Mohamad,Nazar Zaki,José A. Castellanos-Garzón
Publisher : Springer
Page : 184 pages
File Size : 47,7 Mb
Release : 2019-06-21
Category : Technology & Engineering
ISBN : 9783030238735

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Practical Applications of Computational Biology and Bioinformatics, 13th International Conference by Florentino Fdez-Riverola,Miguel Rocha,Mohd Saberi Mohamad,Nazar Zaki,José A. Castellanos-Garzón Pdf

This book features 21 papers spanning many different sub-fields in bioinformatics and computational biology, presenting the latest research on the practical applications to promote fruitful interactions between young researchers in different areas related to the field. Next-generation sequencing technologies, together with other emerging and diverse experimental techniques, are evolving rapidly, creating numerous types of omics data. These, in turn, are creating new challenges for the expanding fields of bioinformatics and computational biology, which seek to analyse, process, integrate and extract meaningful knowledge from such data. This calls for new algorithms and approaches from fields such as databases, statistics, data mining, machine learning, optimization, computer science, machine learning and artificial intelligence. Clearly, biology is increasingly becoming a science of information, requiring tools from the computational sciences. To address these challenges, we have seen the emergence of a new generation of interdisciplinary scientists with a strong background in the biological and computational sciences. In this context, the interaction of researchers from different scientific areas is, more than ever, vital to boost the research efforts in the field and contribute to the training of the new generation of interdisciplinary scientists.

Computational Intelligence and Data Sciences

Ayodeji Olalekan Salau,Shruti Jain,Meenakshi Sood
Computational Intelligence and Data Sciences Book PDF

Author : Ayodeji Olalekan Salau,Shruti Jain,Meenakshi Sood
Publisher : CRC Press
Page : 272 pages
File Size : 46,6 Mb
Release : 2022-03-11
Category : Computers
ISBN : 9781000541755

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Computational Intelligence and Data Sciences by Ayodeji Olalekan Salau,Shruti Jain,Meenakshi Sood Pdf

This book presents futuristic trends in computational intelligence including algorithms as applicable to different application domains in health informatics covering bio-medical, bioinformatics, and biological sciences. Latest evolutionary approaches to solve optimization problems under biomedical engineering field are discussed. It provides conceptual framework with a focus on application of computational intelligence techniques in the domain of biomedical engineering and health informatics including real-time issues.

Advanced AI Techniques and Applications in Bioinformatics

Loveleen Gaur,Arun Solanki,Samuel Fosso Wamba,Noor Zaman Jhanjhi
Advanced AI Techniques and Applications in Bioinformatics Book PDF

Author : Loveleen Gaur,Arun Solanki,Samuel Fosso Wamba,Noor Zaman Jhanjhi
Publisher : CRC Press
Page : 220 pages
File Size : 45,8 Mb
Release : 2021-10-17
Category : Technology & Engineering
ISBN : 9781000463019

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Advanced AI Techniques and Applications in Bioinformatics by Loveleen Gaur,Arun Solanki,Samuel Fosso Wamba,Noor Zaman Jhanjhi Pdf

The advanced AI techniques are essential for resolving various problematic aspects emerging in the field of bioinformatics. This book covers the recent approaches in artificial intelligence and machine learning methods and their applications in Genome and Gene editing, cancer drug discovery classification, and the protein folding algorithms among others. Deep learning, which is widely used in image processing, is also applicable in bioinformatics as one of the most popular artificial intelligence approaches. The wide range of applications discussed in this book are an indispensable resource for computer scientists, engineers, biologists, mathematicians, physicians, and medical informaticists. Features: Focusses on the cross-disciplinary relation between computer science and biology and the role of machine learning methods in resolving complex problems in bioinformatics Provides a comprehensive and balanced blend of topics and applications using various advanced algorithms Presents cutting-edge research methodologies in the area of AI methods when applied to bioinformatics and innovative solutions Discusses the AI/ML techniques, their use, and their potential for use in common and future bioinformatics applications Includes recent achievements in AI and bioinformatics contributed by a global team of researchers

Computational Intelligence and Pattern Analysis in Biology Informatics

Ujjwal Maulik,Sanghamitra Bandyopadhyay,Jason T. Wang
Computational Intelligence and Pattern Analysis in Biology Informatics Book PDF

Author : Ujjwal Maulik,Sanghamitra Bandyopadhyay,Jason T. Wang
Publisher : John Wiley & Sons
Page : 552 pages
File Size : 50,7 Mb
Release : 2011-03-21
Category : Medical
ISBN : 9781118097809

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Computational Intelligence and Pattern Analysis in Biology Informatics by Ujjwal Maulik,Sanghamitra Bandyopadhyay,Jason T. Wang Pdf

An invaluable tool in Bioinformatics, this unique volume provides both theoretical and experimental results, and describes basic principles of computational intelligence and pattern analysis while deepening the reader's understanding of the ways in which these principles can be used for analyzing biological data in an efficient manner. This book synthesizes current research in the integration of computational intelligence and pattern analysis techniques, either individually or in a hybridized manner. The purpose is to analyze biological data and enable extraction of more meaningful information and insight from it. Biological data for analysis include sequence data, secondary and tertiary structure data, and microarray data. These data types are complex and advanced methods are required, including the use of domain-specific knowledge for reducing search space, dealing with uncertainty, partial truth and imprecision, efficient linear and/or sub-linear scalability, incremental approaches to knowledge discovery, and increased level and intelligence of interactivity with human experts and decision makers Chapters authored by leading researchers in CI in biology informatics. Covers highly relevant topics: rational drug design; analysis of microRNAs and their involvement in human diseases. Supplementary material included: program code and relevant data sets correspond to chapters.

Handbook of Research on Computational Intelligence Applications in Bioinformatics

Dash, Sujata,Subudhi, Bidyadhar
Handbook of Research on Computational Intelligence Applications in Bioinformatics Book PDF

Author : Dash, Sujata,Subudhi, Bidyadhar
Publisher : IGI Global
Page : 514 pages
File Size : 53,5 Mb
Release : 2016-06-20
Category : Computers
ISBN : 9781522504283

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Handbook of Research on Computational Intelligence Applications in Bioinformatics by Dash, Sujata,Subudhi, Bidyadhar Pdf

Developments in the areas of biology and bioinformatics are continuously evolving and creating a plethora of data that needs to be analyzed and decrypted. Since it can be difficult to decipher the multitudes of data within these areas, new computational techniques and tools are being employed to assist researchers in their findings. The Handbook of Research on Computational Intelligence Applications in Bioinformatics examines emergent research in handling real-world problems through the application of various computation technologies and techniques. Featuring theoretical concepts and best practices in the areas of computational intelligence, artificial intelligence, big data, and bio-inspired computing, this publication is a critical reference source for graduate students, professionals, academics, and researchers.

Real World Applications of Computational Intelligence

Mircea Gh. Negoita
Real World Applications of Computational Intelligence Book PDF

Author : Mircea Gh. Negoita
Publisher : Springer Science & Business Media
Page : 320 pages
File Size : 44,9 Mb
Release : 2005-06-22
Category : Computers
ISBN : 3540250069

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Real World Applications of Computational Intelligence by Mircea Gh. Negoita Pdf

Computational Intelligence (CI) has emerged as a novel and highly diversified paradigm supporting the design, analysis and deployment of intelligent systems. This book presents a careful selection of the field that very well reflects the breadth of the discipline. It covers a range of highly relevant and practical design principles governing the development of intelligent systems in data mining, robotics, bioinformatics, and intelligent tutoring systems. The lucid presentations, coherent organization, breadth and the authoritative coverage of the area make the book highly attractive for everybody interested in the design and analysis of intelligent systems.

Intelligent Bioinformatics

Edward Keedwell,Ajit Narayanan
Intelligent Bioinformatics Book PDF

Author : Edward Keedwell,Ajit Narayanan
Publisher : John Wiley & Sons
Page : 294 pages
File Size : 40,6 Mb
Release : 2005-12-13
Category : Medical
ISBN : 9780470021767

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Intelligent Bioinformatics by Edward Keedwell,Ajit Narayanan Pdf

Bioinformatics is contributing to some of the most important advances in medicine and biology. At the forefront of this exciting new subject are techniques known as artificial intelligence which are inspired by the way in which nature solves the problems it faces. This book provides a unique insight into the complex problems of bioinformatics and the innovative solutions which make up ‘intelligent bioinformatics’. Intelligent Bioinformatics requires only rudimentary knowledge of biology, bioinformatics or computer science and is aimed at interested readers regardless of discipline. Three introductory chapters on biology, bioinformatics and the complexities of search and optimisation equip the reader with the necessary knowledge to proceed through the remaining eight chapters, each of which is dedicated to an intelligent technique in bioinformatics. The book also contains many links to software and information available on the internet, in academic journals and beyond, making it an indispensable reference for the 'intelligent bioinformatician'. Intelligent Bioinformatics will appeal to all postgraduate students and researchers in bioinformatics and genomics as well as to computer scientists interested in these disciplines, and all natural scientists with large data sets to analyse.

Computational Intelligence and Pattern Analysis in Biology Informatics

Ujjwal Maulik,Sanghamitra Bandyopadhyay,Jason T. Wang
Computational Intelligence and Pattern Analysis in Biology Informatics Book PDF

Author : Ujjwal Maulik,Sanghamitra Bandyopadhyay,Jason T. Wang
Publisher : John Wiley & Sons
Page : 396 pages
File Size : 48,9 Mb
Release : 2011-03-21
Category : Medical
ISBN : 9781118097809

Get Book

Computational Intelligence and Pattern Analysis in Biology Informatics by Ujjwal Maulik,Sanghamitra Bandyopadhyay,Jason T. Wang Pdf

An invaluable tool in Bioinformatics, this unique volume provides both theoretical and experimental results, and describes basic principles of computational intelligence and pattern analysis while deepening the reader's understanding of the ways in which these principles can be used for analyzing biological data in an efficient manner. This book synthesizes current research in the integration of computational intelligence and pattern analysis techniques, either individually or in a hybridized manner. The purpose is to analyze biological data and enable extraction of more meaningful information and insight from it. Biological data for analysis include sequence data, secondary and tertiary structure data, and microarray data. These data types are complex and advanced methods are required, including the use of domain-specific knowledge for reducing search space, dealing with uncertainty, partial truth and imprecision, efficient linear and/or sub-linear scalability, incremental approaches to knowledge discovery, and increased level and intelligence of interactivity with human experts and decision makers Chapters authored by leading researchers in CI in biology informatics. Covers highly relevant topics: rational drug design; analysis of microRNAs and their involvement in human diseases. Supplementary material included: program code and relevant data sets correspond to chapters.

Marvels of Artificial and Computational Intelligence in Life Sciences

Thirunavukkarasu Sivaraman
Marvels of Artificial and Computational Intelligence in Life Sciences Book PDF

Author : Thirunavukkarasu Sivaraman
Publisher : Bentham Science Publishers
Page : 287 pages
File Size : 44,8 Mb
Release : 2023-09-20
Category : Computers
ISBN : 9789815136814

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Marvels of Artificial and Computational Intelligence in Life Sciences by Thirunavukkarasu Sivaraman Pdf

Marvels of Artificial and Computational Intelligence in Life Sciences is a primer for scholars and students who are interested in the applications of artificial intelligence (AI and computational intelligence (CI) in life sciences and other industries. The book consists of 16 chapters (9 of which focus on AI and 7 which showcase the benefits of CI approaches to solve specific problems). Chapters are edited by subject experts who describe the roles and applications of AI and CI in different parts of our lives in a concise and lucid manner. The book covers the following key themes: AI Revolution in Healthcare and Drug Discovery: AI's Impact on Biology and Energy Management AI and CI in Physical Sciences and Predictive Modeling Computational Biology The editors have compiled a good blend of topics in applied science and engineering to give readers a clear understanding of the multidisciplinary nature of the two facets of computing. Each chapter includes references for advanced readers.

Computational Intelligence and Big Data Analytics

Ch. Satyanarayana,Kunjam Nageswara Rao,Richard G. Bush
Computational Intelligence and Big Data Analytics Book PDF

Author : Ch. Satyanarayana,Kunjam Nageswara Rao,Richard G. Bush
Publisher : Springer
Page : 137 pages
File Size : 47,5 Mb
Release : 2018-09-08
Category : Technology & Engineering
ISBN : 9789811305443

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Computational Intelligence and Big Data Analytics by Ch. Satyanarayana,Kunjam Nageswara Rao,Richard G. Bush Pdf

This book highlights major issues related to big data analysis using computational intelligence techniques, mostly interdisciplinary in nature. It comprises chapters on computational intelligence technologies, such as neural networks and learning algorithms, evolutionary computation, fuzzy systems and other emerging techniques in data science and big data, ranging from methodologies, theory and algorithms for handling big data, to their applications in bioinformatics and related disciplines. The book describes the latest solutions, scientific results and methods in solving intriguing problems in the fields of big data analytics, intelligent agents and computational intelligence. It reflects the state of the art research in the field and novel applications of new processing techniques in computer science. This book is useful to both doctoral students and researchers from computer science and engineering fields and bioinformatics related domains.