Computational And Analytic Methods In Biological Sciences

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Computational and Analytic Methods in Biological Sciences

Author : Akshara Makrariya
Publisher : CRC Press
ISBN 13 : 1000879879
Total Pages : 325 pages
Book Rating : 4.0/5 (8 download)

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Book Synopsis Computational and Analytic Methods in Biological Sciences by : Akshara Makrariya

Download or read book Computational and Analytic Methods in Biological Sciences written by Akshara Makrariya and published by CRC Press. This book was released on 2023-05-31 with total page 325 pages. Available in PDF, EPUB and Kindle. Book excerpt: Despite major advances in healthcare over the past century, the successful treatment of cancer has remained a significant challenge, and cancers are the second leading cause of death worldwide behind cardiovascular disease. Early detection and survival are important issues to control cancer. The development of quantitative methods and computer technology has facilitated the formation of new models in medical and biological sciences. The application of mathematical modelling in solving many real-world problems in medicine and biology has yielded fruitful results. In spite of advancements in instrumentations technology and biomedical equipment, it is not always possible to perform experiments in medicine and biology for various reasons. Thus, mathematical modelling and simulation are viewed as viable alternatives in such situations, and are discussed in this book. The conventional diagnostic techniques of cancer are not always effective as they rely on the physical and morphological appearance of the tumour. Early stage prediction and diagnosis is very difficult with conventional techniques. It is well known that cancers are involved in genome level changes. As of now, the prognosis of various types of cancer depends upon findings related to the data generated through different experiments. Several machine learning techniques exist in analysing the data of expressed genes; however, the recent results related with deep learning algorithms are more accurate and accommodative, as they are effective in selecting and classifying informative genes. This book explores the probabilistic computational deep learning model for cancer classification and prediction.

Computational and Analytic Methods in Science and Engineering

Author : Christian Constanda
Publisher :
ISBN 13 : 9788303048189
Total Pages : 0 pages
Book Rating : 4.0/5 (481 download)

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Book Synopsis Computational and Analytic Methods in Science and Engineering by : Christian Constanda

Download or read book Computational and Analytic Methods in Science and Engineering written by Christian Constanda and published by . This book was released on 2020 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This contributed volume collects papers presented at a special session of the conference Computational and Mathematical Methods in Science and Engineering (CMMSE) held in Cadiz, Spain from June 30 - July 6, 2019. Covering the applications of integral methods to scientific developments in a variety of fields, ranging from pure analysis to petroleum engineering, the chapters in this volume present new results in both pure and applied mathematics. Written by well-known researchers in their respective disciplines, each chapter shares a common methodology based on a combination of analytic and computational tools. This approach makes the collection a valuable, multidisciplinary reference on how mathematics can be applied to various real-world processes and phenomena. Computational and Analytic Methods in Science and Engineering will be ideal for applied mathematicians, physicists, and research engineers.

Computational and Analytic Methods in Science and Engineering

Author : Christian Constanda
Publisher : Springer Nature
ISBN 13 : 3030481867
Total Pages : 261 pages
Book Rating : 4.0/5 (34 download)

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Book Synopsis Computational and Analytic Methods in Science and Engineering by : Christian Constanda

Download or read book Computational and Analytic Methods in Science and Engineering written by Christian Constanda and published by Springer Nature. This book was released on 2020-07-07 with total page 261 pages. Available in PDF, EPUB and Kindle. Book excerpt: This contributed volume collects papers presented at a special session of the conference Computational and Mathematical Methods in Science and Engineering (CMMSE) held in Cadiz, Spain from June 30 - July 6, 2019. Covering the applications of integral methods to scientific developments in a variety of fields, ranging from pure analysis to petroleum engineering, the chapters in this volume present new results in both pure and applied mathematics. Written by well-known researchers in their respective disciplines, each chapter shares a common methodology based on a combination of analytic and computational tools. This approach makes the collection a valuable, multidisciplinary reference on how mathematics can be applied to various real-world processes and phenomena. Computational and Analytic Methods in Science and Engineering will be ideal for applied mathematicians, physicists, and research engineers.

Computational Cell Biology

Author : Louise von Stechow
Publisher : Humana Press
ISBN 13 : 9781493986170
Total Pages : 436 pages
Book Rating : 4.9/5 (861 download)

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Book Synopsis Computational Cell Biology by : Louise von Stechow

Download or read book Computational Cell Biology written by Louise von Stechow and published by Humana Press. This book was released on 2018-08-08 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume details computational techniques for analyses of a wide range of biological contexts, providing an overview of the most up-to-date techniques used in the field. Chapters guide the reader through available data resources and analysis methods and easy-to-follow protocols that allow the researcher to apply various computational tools to an array of different data types. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory and computational protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and cutting-edge, Computational Cell Biology: Method and Protocols aims to ensure successful results in the further study of this vital field.

Information Management

Author : Shuliang Li
Publisher : Springer Nature
ISBN 13 : 3031643593
Total Pages : 504 pages
Book Rating : 4.0/5 (316 download)

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Book Synopsis Information Management by : Shuliang Li

Download or read book Information Management written by Shuliang Li and published by Springer Nature. This book was released on with total page 504 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Computational Methods in Molecular Biology

Author : S.L. Salzberg
Publisher : Elsevier
ISBN 13 : 0080860931
Total Pages : 399 pages
Book Rating : 4.0/5 (88 download)

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Book Synopsis Computational Methods in Molecular Biology by : S.L. Salzberg

Download or read book Computational Methods in Molecular Biology written by S.L. Salzberg and published by Elsevier. This book was released on 1998-06-19 with total page 399 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational biology is a rapidly expanding field, and the number and variety of computational methods used for DNA and protein sequence analysis is growing every day. These algorithms are extremely valuable to biotechnology companies and to researchers and teachers in universities. This book explains the latest computer technology for analyzing DNA, RNA, and protein sequences. Clear and easy to follow, designed specifically for the non-computer scientist, it will help biologists make better choices on which algorithm to use. New techniques and demonstrations are elucidated, as are state-of-the-art problems, and more advanced material on the latest algorithms. The primary audience for this volume are molecular biologists working either in biotechnology companies or academic research environments, individual researchers and the institutions they work for, and students. Any biologist who relies on computers should want this book. A secondary audience will be computer scientists developing techniques with applications in biology. An excellent reference for leading techniques, it will also help introduce computer scientists to the biology problems. This is an outstanding work which will be ideal for the increasing number of scientists moving into computational biology.

Introduction to Computer-Intensive Methods of Data Analysis in Biology

Author : Derek A. Roff
Publisher : Cambridge University Press
ISBN 13 : 1139452487
Total Pages : pages
Book Rating : 4.1/5 (394 download)

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Book Synopsis Introduction to Computer-Intensive Methods of Data Analysis in Biology by : Derek A. Roff

Download or read book Introduction to Computer-Intensive Methods of Data Analysis in Biology written by Derek A. Roff and published by Cambridge University Press. This book was released on 2006-05-25 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This 2006 guide to the contemporary toolbox of methods for data analysis will serve graduate students and researchers across the biological sciences. Modern computational tools, such as Maximum Likelihood, Monte Carlo and Bayesian methods, mean that data analysis no longer depends on elaborate assumptions designed to make analytical approaches tractable. These new 'computer-intensive' methods are currently not consistently available in statistical software packages and often require more detailed instructions. The purpose of this book therefore is to introduce some of the most common of these methods by providing a relatively simple description of the techniques. Examples of their application are provided throughout, using real data taken from a wide range of biological research. A series of software instructions for the statistical software package S-PLUS are provided along with problems and solutions for each chapter.

High Performance Computational Methods for Biological Sequence Analysis

Author : Tieng K. Yap
Publisher : Springer Science & Business Media
ISBN 13 : 1461313910
Total Pages : 219 pages
Book Rating : 4.4/5 (613 download)

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Book Synopsis High Performance Computational Methods for Biological Sequence Analysis by : Tieng K. Yap

Download or read book High Performance Computational Methods for Biological Sequence Analysis written by Tieng K. Yap and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 219 pages. Available in PDF, EPUB and Kindle. Book excerpt: High Performance Computational Methods for Biological Sequence Analysis presents biological sequence analysis using an interdisciplinary approach that integrates biological, mathematical and computational concepts. These concepts are presented so that computer scientists and biomedical scientists can obtain the necessary background for developing better algorithms and applying parallel computational methods. This book will enable both groups to develop the depth of knowledge needed to work in this interdisciplinary field. This work focuses on high performance computational approaches that are used to perform computationally intensive biological sequence analysis tasks: pairwise sequence comparison, multiple sequence alignment, and sequence similarity searching in large databases. These computational methods are becoming increasingly important to the molecular biology community allowing researchers to explore the increasingly large amounts of sequence data generated by the Human Genome Project and other related biological projects. The approaches presented by the authors are state-of-the-art and show how to reduce analysis times significantly, sometimes from days to minutes. High Performance Computational Methods for Biological Sequence Analysis is tremendously important to biomedical science students and researchers who are interested in applying sequence analyses to their studies, and to computational science students and researchers who are interested in applying new computational approaches to biological sequence analyses.

Computational Intelligence and Pattern Analysis in Biology Informatics

Author : Ujjwal Maulik
Publisher : John Wiley & Sons
ISBN 13 : 1118097807
Total Pages : 552 pages
Book Rating : 4.1/5 (18 download)

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Book Synopsis Computational Intelligence and Pattern Analysis in Biology Informatics by : Ujjwal Maulik

Download or read book Computational Intelligence and Pattern Analysis in Biology Informatics written by Ujjwal Maulik and published by John Wiley & Sons. This book was released on 2011-03-21 with total page 552 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Analytical Techniques in Biosciences

Author : Chukwuebuka Egbuna
Publisher : Academic Press
ISBN 13 : 0128227990
Total Pages : 302 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis Analytical Techniques in Biosciences by : Chukwuebuka Egbuna

Download or read book Analytical Techniques in Biosciences written by Chukwuebuka Egbuna and published by Academic Press. This book was released on 2021-10-21 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt: Analytical Techniques in Biosciences: From Basics to Applications presents comprehensive and up-to-date information on the various analytical techniques obtainable in bioscience research laboratories across the world. This book contains chapters that discuss the basic bioanalytical protocols and sample preparation guidelines. Commonly encountered analytical techniques, their working principles, and applications were presented. Techniques, considered in this book, include centrifugation techniques, electrophoretic techniques, chromatography, titrimetry, spectrometry, and hyphenated techniques. Subsequent chapters emphasize molecular weight determination and electroanalytical techniques, biosensors, and enzyme assay protocols. Other chapters detail microbial techniques, statistical methods, computational modeling, and immunology and immunochemistry. The book draws from experts from key institutions around the globe, who have simplified the chapters in a way that will be useful to early-stage researchers as well as advanced scientists. It is also carefully structured and integrated sequentially to aid flow, consistency, and continuity. This is a must-have reference for graduate students and researchers in the field of biosciences. Presents basic analytical protocols and sample-preparation guidelines Details the various analytical techniques, including centrifugation, spectrometry, chromatography, and titrimetry Describes advanced techniques such as hyphenated techniques, electroanalytical techniques, and the application of biosensors in biomedical research Presents biostatistical tools and methods and basic computational models in biosciences

Computational Molecular Biology

Author : Peter Clote
Publisher : Wiley
ISBN 13 : 9780471872528
Total Pages : 304 pages
Book Rating : 4.8/5 (725 download)

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Book Synopsis Computational Molecular Biology by : Peter Clote

Download or read book Computational Molecular Biology written by Peter Clote and published by Wiley. This book was released on 2000-10-03 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recently molecular biology has undergone unprecedented development generating vast quantities of data needing sophisticated computational methods for analysis, processing and archiving. This requirement has given birth to the truly interdisciplinary field of computational biology, or bioinformatics, a subject reliant on both theoretical and practical contributions from statistics, mathematics, computer science and biology. * Provides the background mathematics required to understand why certain algorithms work * Guides the reader through probability theory, entropy and combinatorial optimization * In-depth coverage of molecular biology and protein structure prediction * Includes several less familiar algorithms such as DNA segmentation, quartet puzzling and DNA strand separation prediction * Includes class tested exercises useful for self-study * Source code of programs available on a Web site Primarily aimed at advanced undergraduate and graduate students from bioinformatics, computer science, statistics, mathematics and the biological sciences, this text will also interest researchers from these fields.

Computational Methods in Synthetic Biology

Author : Mario Andrea Marchisio
Publisher : Humana
ISBN 13 : 9781071608241
Total Pages : 255 pages
Book Rating : 4.6/5 (82 download)

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Book Synopsis Computational Methods in Synthetic Biology by : Mario Andrea Marchisio

Download or read book Computational Methods in Synthetic Biology written by Mario Andrea Marchisio and published by Humana. This book was released on 2021-11-27 with total page 255 pages. Available in PDF, EPUB and Kindle. Book excerpt: This second edition book provides complete coverage of the computational approaches currently used in Synthetic Biology. New chapters detail computational methods and algorithms for the design of bio-components, insight on CAD programs, analysis techniques, and distributed systems. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, application details for both the expert and non-expert reader, and tips on troubleshooting and avoiding known pitfalls. Authoritative and practical, Computational Methods in Synthetic Biology, Second Edition aims to feature a broad overview of the research areas that can be met in the area of in silico Synthetic Biology.

Practical Bioinformatics

Author : Janusz M. Bujnicki
Publisher : Springer Science & Business Media
ISBN 13 : 9783540206132
Total Pages : 292 pages
Book Rating : 4.2/5 (61 download)

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Book Synopsis Practical Bioinformatics by : Janusz M. Bujnicki

Download or read book Practical Bioinformatics written by Janusz M. Bujnicki and published by Springer Science & Business Media. This book was released on 2004-03-03 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bridges the gap between bioinformaticists and molecular biologists, i.e. the developers and the users of computational methods for biological data analysis and in that it presents examples of practical applications of the bioinformatics tools in the "daily practice" of an experimental research scientist.

Computational Systems Bioinformatics - Methods And Biomedical Applications

Author : Wong Stephen Tin Chi
Publisher : World Scientific Publishing Company
ISBN 13 : 9813106999
Total Pages : 400 pages
Book Rating : 4.8/5 (131 download)

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Book Synopsis Computational Systems Bioinformatics - Methods And Biomedical Applications by : Wong Stephen Tin Chi

Download or read book Computational Systems Bioinformatics - Methods And Biomedical Applications written by Wong Stephen Tin Chi and published by World Scientific Publishing Company. This book was released on 2008-01-02 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Computational Systems Bioinformatics

Author : Xiaobo Zhou
Publisher : World Scientific
ISBN 13 : 9812707042
Total Pages : 398 pages
Book Rating : 4.8/5 (127 download)

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Book Synopsis Computational Systems Bioinformatics by : Xiaobo Zhou

Download or read book Computational Systems Bioinformatics written by Xiaobo Zhou and published by World Scientific. This book was released on 2008 with total page 398 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Kernel Methods in Computational Biology

Author : Bernhard Sch?lkopf
Publisher :
ISBN 13 : 9780262292689
Total Pages : pages
Book Rating : 4.2/5 (926 download)

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Book Synopsis Kernel Methods in Computational Biology by : Bernhard Sch?lkopf

Download or read book Kernel Methods in Computational Biology written by Bernhard Sch?lkopf and published by . This book was released on 2016 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Computational Methods With Applications In Bioinformatics Analysis

Author : Tsai Jeffrey J P
Publisher : World Scientific
ISBN 13 : 981320799X
Total Pages : 232 pages
Book Rating : 4.8/5 (132 download)

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Book Synopsis Computational Methods With Applications In Bioinformatics Analysis by : Tsai Jeffrey J P

Download or read book Computational Methods With Applications In Bioinformatics Analysis written by Tsai Jeffrey J P and published by World Scientific. This book was released on 2017-06-09 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: This compendium contains 10 chapters written by world renowned researchers with expertise in semantic computing, genome sequence analysis, biomolecular interaction, time-series microarray analysis, and machine learning algorithms. The salient feature of this book is that it highlights eight types of computational techniques to tackle different biomedical applications. These techniques include unsupervised learning algorithms, principal component analysis, fuzzy integral, graph-based ensemble clustering method, semantic analysis, interolog approach, molecular simulations and enzyme kinetics. The unique volume will be a useful reference material and an inspirational read for advanced undergraduate and graduate students, computer scientists, computational biologists, bioinformatics and biomedical professionals.