Data Mining Techniques For The Life Sciences

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Data Mining Techniques for the Life Sciences

Author : Oliviero Carugo
Publisher : Humana
ISBN 13 : 9781071620946
Total Pages : 390 pages
Book Rating : 4.6/5 (29 download)

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Book Synopsis Data Mining Techniques for the Life Sciences by : Oliviero Carugo

Download or read book Data Mining Techniques for the Life Sciences written by Oliviero Carugo and published by Humana. This book was released on 2022-05-05 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: This third edition details new and updated methods and protocols on important databases and data mining tools. Chapters guides readers through archives of macromolecular sequences and three-dimensional structures, databases of protein-protein interactions, methods for prediction conformational disorder, mutant thermodynamic stability, aggregation, and drug response. Quality of structural data and their release, soft mechanics applications in biology, and protein flexibility are considered, too, together with pan-genome analyses, rational drug combination screening and Omics Deep Mining. Written in the format of the highly successful Methods in Molecular Biology series, each chapter includes an introduction to the topic, lists necessary materials, includes step-by-step, readily reproducible protocols. Authoritative and cutting-edge, Data Mining Techniques for the Life Sciences, Third Edition aims to be a practical guide to researches to help further their study in this field.

Computational Life Sciences

Author : Jens Dörpinghaus
Publisher : Springer Nature
ISBN 13 : 303108411X
Total Pages : 593 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Computational Life Sciences by : Jens Dörpinghaus

Download or read book Computational Life Sciences written by Jens Dörpinghaus and published by Springer Nature. This book was released on 2023-03-04 with total page 593 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book broadly covers the given spectrum of disciplines in Computational Life Sciences, transforming it into a strong helping hand for teachers, students, practitioners and researchers. In Life Sciences, problem-solving and data analysis often depend on biological expertise combined with technical skills in order to generate, manage and efficiently analyse big data. These technical skills can easily be enhanced by good theoretical foundations, developed from well-chosen practical examples and inspiring new strategies. This is the innovative approach of Computational Life Sciences-Data Engineering and Data Mining for Life Sciences: We present basic concepts, advanced topics and emerging technologies, introduce algorithm design and programming principles, address data mining and knowledge discovery as well as applications arising from real projects. Chapters are largely independent and often flanked by illustrative examples and practical advise.

Introduction to Data Mining for the Life Sciences

Author : Rob Sullivan
Publisher : Springer Science & Business Media
ISBN 13 : 1597452904
Total Pages : 644 pages
Book Rating : 4.5/5 (974 download)

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Book Synopsis Introduction to Data Mining for the Life Sciences by : Rob Sullivan

Download or read book Introduction to Data Mining for the Life Sciences written by Rob Sullivan and published by Springer Science & Business Media. This book was released on 2012-01-07 with total page 644 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data mining provides a set of new techniques to integrate, synthesize, and analyze tdata, uncovering the hidden patterns that exist within. Traditionally, techniques such as kernel learning methods, pattern recognition, and data mining, have been the domain of researchers in areas such as artificial intelligence, but leveraging these tools, techniques, and concepts against your data asset to identify problems early, understand interactions that exist and highlight previously unrealized relationships through the combination of these different disciplines can provide significant value for the investigator and her organization.

Introduction to Data Mining for the Life Sciences

Author :
Publisher :
ISBN 13 : 9781617795251
Total Pages : 656 pages
Book Rating : 4.7/5 (952 download)

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Book Synopsis Introduction to Data Mining for the Life Sciences by :

Download or read book Introduction to Data Mining for the Life Sciences written by and published by . This book was released on 2012-01-01 with total page 656 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Life Science Data Mining

Author : Chung-sheng Li
Publisher : World Scientific
ISBN 13 : 981447682X
Total Pages : 390 pages
Book Rating : 4.8/5 (144 download)

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Book Synopsis Life Science Data Mining by : Chung-sheng Li

Download or read book Life Science Data Mining written by Chung-sheng Li and published by World Scientific. This book was released on 2006-12-29 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: This timely book identifies and highlights the latest data mining paradigms to analyze, combine, integrate, model and simulate vast amounts of heterogeneous multi-modal, multi-scale data for emerging real-world applications in life science.The cutting-edge topics presented include bio-surveillance, disease outbreak detection, high throughput bioimaging, drug screening, predictive toxicology, biosensors, and the integration of macro-scale bio-surveillance and environmental data with micro-scale biological data for personalized medicine. This collection of works from leading researchers in the field offers readers an exceptional start in these areas.

Data Mining

Author : Ian H. Witten
Publisher : Elsevier
ISBN 13 : 008047702X
Total Pages : 558 pages
Book Rating : 4.0/5 (84 download)

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Book Synopsis Data Mining by : Ian H. Witten

Download or read book Data Mining written by Ian H. Witten and published by Elsevier. This book was released on 2005-07-13 with total page 558 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Mining, Second Edition, describes data mining techniques and shows how they work. The book is a major revision of the first edition that appeared in 1999. While the basic core remains the same, it has been updated to reflect the changes that have taken place over five years, and now has nearly double the references. The highlights of this new edition include thirty new technique sections; an enhanced Weka machine learning workbench, which now features an interactive interface; comprehensive information on neural networks; a new section on Bayesian networks; and much more. This text is designed for information systems practitioners, programmers, consultants, developers, information technology managers, specification writers as well as professors and students of graduate-level data mining and machine learning courses. Algorithmic methods at the heart of successful data mining—including tried and true techniques as well as leading edge methods Performance improvement techniques that work by transforming the input or output

Data Mining for Systems Biology

Author : Hiroshi Mamitsuka
Publisher : Humana
ISBN 13 : 9781493993260
Total Pages : 243 pages
Book Rating : 4.9/5 (932 download)

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Book Synopsis Data Mining for Systems Biology by : Hiroshi Mamitsuka

Download or read book Data Mining for Systems Biology written by Hiroshi Mamitsuka and published by Humana. This book was released on 2019-08-04 with total page 243 pages. Available in PDF, EPUB and Kindle. Book excerpt: This fully updated book collects numerous data mining techniques, reflecting the acceleration and diversity of the development of data-driven approaches to the life sciences. The first half of the volume examines genomics, particularly metagenomics and epigenomics, which promise to deepen our knowledge of genes and genomes, while the second half of the book emphasizes metabolism and the metabolome as well as relevant medicine-oriented subjects. Written for the highly successful Methods in Molecular Biology series, chapters include the kind of detail and expert implementation advice that is useful for getting optimal results. Authoritative and practical, Data Mining for Systems Biology: Methods and Protocols, Second Edition serves as an ideal resource for researchers of biology and relevant fields, such as medical, pharmaceutical, and agricultural sciences, as well as for the scientists and engineers who are working on developing data-driven techniques, such as databases, data sciences, data mining, visualization systems, and machine learning or artificial intelligence that now are central to the paradigm-altering discoveries being made with a higher frequency.

Data Mining: Concepts and Techniques

Author : Jiawei Han
Publisher : Elsevier
ISBN 13 : 0123814804
Total Pages : 740 pages
Book Rating : 4.1/5 (238 download)

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Book Synopsis Data Mining: Concepts and Techniques by : Jiawei Han

Download or read book Data Mining: Concepts and Techniques written by Jiawei Han and published by Elsevier. This book was released on 2011-06-09 with total page 740 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Mining: Concepts and Techniques provides the concepts and techniques in processing gathered data or information, which will be used in various applications. Specifically, it explains data mining and the tools used in discovering knowledge from the collected data. This book is referred as the knowledge discovery from data (KDD). It focuses on the feasibility, usefulness, effectiveness, and scalability of techniques of large data sets. After describing data mining, this edition explains the methods of knowing, preprocessing, processing, and warehousing data. It then presents information about data warehouses, online analytical processing (OLAP), and data cube technology. Then, the methods involved in mining frequent patterns, associations, and correlations for large data sets are described. The book details the methods for data classification and introduces the concepts and methods for data clustering. The remaining chapters discuss the outlier detection and the trends, applications, and research frontiers in data mining. This book is intended for Computer Science students, application developers, business professionals, and researchers who seek information on data mining. Presents dozens of algorithms and implementation examples, all in pseudo-code and suitable for use in real-world, large-scale data mining projects Addresses advanced topics such as mining object-relational databases, spatial databases, multimedia databases, time-series databases, text databases, the World Wide Web, and applications in several fields Provides a comprehensive, practical look at the concepts and techniques you need to get the most out of your data

Biological Knowledge Discovery Handbook

Author : Mourad Elloumi
Publisher : John Wiley & Sons
ISBN 13 : 1118853725
Total Pages : 1126 pages
Book Rating : 4.1/5 (188 download)

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Book Synopsis Biological Knowledge Discovery Handbook by : Mourad Elloumi

Download or read book Biological Knowledge Discovery Handbook written by Mourad Elloumi and published by John Wiley & Sons. This book was released on 2015-02-04 with total page 1126 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first comprehensive overview of preprocessing, mining, and postprocessing of biological data Molecular biology is undergoing exponential growth in both the volume and complexity of biological data and knowledge discovery offers the capacity to automate complex search and data analysis tasks. This book presents a vast overview of the most recent developments on techniques and approaches in the field of biological knowledge discovery and data mining (KDD) providing in-depth fundamental and technical field information on the most important topics encountered. Written by top experts, Biological Knowledge Discovery Handbook: Preprocessing, Mining, and Postprocessing of Biological Data covers the three main phases of knowledge discovery (data preprocessing, data processing also known as data mining and data postprocessing) and analyzes both verification systems and discovery systems. BIOLOGICAL DATA PREPROCESSING Part A: Biological Data Management Part B: Biological Data Modeling Part C: Biological Feature Extraction Part D Biological Feature Selection BIOLOGICAL DATA MINING Part E: Regression Analysis of Biological Data Part F Biological Data Clustering Part G: Biological Data Classification Part H: Association Rules Learning from Biological Data Part I: Text Mining and Application to Biological Data Part J: High-Performance Computing for Biological Data Mining Combining sound theory with practical applications in molecular biology, Biological Knowledge Discovery Handbook is ideal for courses in bioinformatics and biological KDD as well as for practitioners and professional researchers in computer science, life science, and mathematics.

Database Technology for Life Sciences and Medicine

Author : Claudia Plant
Publisher : World Scientific
ISBN 13 : 981430770X
Total Pages : 389 pages
Book Rating : 4.8/5 (143 download)

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Book Synopsis Database Technology for Life Sciences and Medicine by : Claudia Plant

Download or read book Database Technology for Life Sciences and Medicine written by Claudia Plant and published by World Scientific. This book was released on 2010 with total page 389 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents innovative approaches from database researchers supporting the challenging process of knowledge discovery in biomedicine. Ranging from how to effectively store and organize biomedical data via data quality and case studies to sophisticated data mining methods, this book provides the state-of-the-art of database technology for life sciences and medicine. A valuable source of information for experts in life sciences who want to be updated about the possibilities of database technology in their field, this volume will also be inspiring for students and researchers in informatics who are keen to contribute to this emerging field of interdisciplinary research.

Biological Data Mining And Its Applications In Healthcare

Author : Xiaoli Li
Publisher : World Scientific
ISBN 13 : 9814551023
Total Pages : 437 pages
Book Rating : 4.8/5 (145 download)

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Book Synopsis Biological Data Mining And Its Applications In Healthcare by : Xiaoli Li

Download or read book Biological Data Mining And Its Applications In Healthcare written by Xiaoli Li and published by World Scientific. This book was released on 2013-11-28 with total page 437 pages. Available in PDF, EPUB and Kindle. Book excerpt: Biologists are stepping up their efforts in understanding the biological processes that underlie disease pathways in the clinical contexts. This has resulted in a flood of biological and clinical data from genomic and protein sequences, DNA microarrays, protein interactions, biomedical images, to disease pathways and electronic health records. To exploit these data for discovering new knowledge that can be translated into clinical applications, there are fundamental data analysis difficulties that have to be overcome. Practical issues such as handling noisy and incomplete data, processing compute-intensive tasks, and integrating various data sources, are new challenges faced by biologists in the post-genome era. This book will cover the fundamentals of state-of-the-art data mining techniques which have been designed to handle such challenging data analysis problems, and demonstrate with real applications how biologists and clinical scientists can employ data mining to enable them to make meaningful observations and discoveries from a wide array of heterogeneous data from molecular biology to pharmaceutical and clinical domains.

Data Mining

Author : Ciza Thomas
Publisher : BoD – Books on Demand
ISBN 13 : 1789235960
Total Pages : 192 pages
Book Rating : 4.7/5 (892 download)

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Book Synopsis Data Mining by : Ciza Thomas

Download or read book Data Mining written by Ciza Thomas and published by BoD – Books on Demand. This book was released on 2018-08-22 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book on data mining explores a broad set of ideas and presents some of the state-of-the-art research in this field. The book is triggered by pervasive applications that retrieve knowledge from real-world big data. Data mining finds applications in the entire spectrum of science and technology including basic sciences to life sciences and medicine, to social, economic, and cognitive sciences, to engineering and computers. The chapters discuss various applications and research frontiers in data mining with algorithms and implementation details for use in real-world. This can be through characterization, classification, discrimination, anomaly detection, association, clustering, trend or evolution prediction, etc. The intended audience of this book will mainly consist of researchers, research students, practitioners, data analysts, and business professionals who seek information on the various data mining techniques and their applications.

Data Mining

Author : Ian H. Witten
Publisher : Morgan Kaufmann
ISBN 13 : 9781558605527
Total Pages : 414 pages
Book Rating : 4.6/5 (55 download)

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Book Synopsis Data Mining by : Ian H. Witten

Download or read book Data Mining written by Ian H. Witten and published by Morgan Kaufmann. This book was released on 2000 with total page 414 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a thorough grounding in machine learning concepts combined with practical advice on applying machine learning tools and techniques in real-world data mining situations. Clearly written and effectively illustrated, this book is ideal for anyone involved at any level in the work of extracting usable knowledge from large collections of data. Complementing the book's instruction is fully functional machine learning software.

Data Mining for the Social Sciences

Author : Paul Attewell
Publisher : Univ of California Press
ISBN 13 : 0520280989
Total Pages : 264 pages
Book Rating : 4.5/5 (22 download)

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Book Synopsis Data Mining for the Social Sciences by : Paul Attewell

Download or read book Data Mining for the Social Sciences written by Paul Attewell and published by Univ of California Press. This book was released on 2015-05 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: "The amount of information collected on human behavior every day is staggering, and exponentially greater than at any time in the past. At the same time, we are inundated by stories of powerful algorithms capable of churning through this sea of data and uncovering patterns. These techniques go by many names - data mining, predictive analytics, machine learning - and they are being used by governments as they spy on citizens and by huge corporations are they fine-tune their advertising strategies. And yet social scientists continue mainly to employ a set of analytical tools developed in an earlier era when data was sparse and difficult to come by. In this timely book, Paul Attewell and David Monaghan provide a simple and accessible introduction to Data Mining geared towards social scientists. They discuss how the data mining approach differs substantially, and in some ways radically, from that of conventional statistical modeling familiar to most social scientists. They demystify data mining, describing the diverse set of techniques that the term covers and discussing the strengths and weaknesses of the various approaches. Finally they give practical demonstrations of how to carry out analyses using data mining tools in a number of statistical software packages. It is the hope of the authors that this book will empower social scientists to consider incorporating data mining methodologies in their analytical toolkits"--Provided by publisher.

The Practical Bioinformatician

Author : Limsoon Wong
Publisher : World Scientific
ISBN 13 : 981238846X
Total Pages : 539 pages
Book Rating : 4.8/5 (123 download)

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Book Synopsis The Practical Bioinformatician by : Limsoon Wong

Download or read book The Practical Bioinformatician written by Limsoon Wong and published by World Scientific. This book was released on 2004 with total page 539 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computer scientists have increasingly been enlisted as "bioinformaticians" to assist molecular biologists in their research. This book is a practical introduction to bioinformatics for these computer scientists. The chapters are in-depth discussions by expert bioinformaticians on both general techniques and specific approaches to a range of selected bioinformatics problems. The book is organized into clusters of chapters on the following topics: - Overview of modern molecular biology and a broad spectrum of techniques from computer science -- data mining, machine learning, mathematical modeling, sequence alignment, data integration, workflow development, etc. - In-depth discussion of computational recognition of functional and regulatory sites in DNA sequences. - Incisive discussion of computational prediction of secondary structure of RNA sequences. - Overview of computational prediction of protein cellular localization, and selected discussions of inference of protein function. - Overview of methods for discovering protein-protein interactions. - Detailed discussion of approaches to gene expression analysis for the diagnosis of diseases, the treatment of diseases, and the understanding of gene functions. - Case studies on analysis of phylogenies, functional annotation of proteins, construction of purposebuilt integrated biological databases, and development of workflows underlying the large-scale-effort gene discovery. - Written in a practical, in-depth tutorial style - Covers a broad range of bioinformatics topics and of techniques used in bioinformatics - Comprehensive overviews of the development of various approaches in a number of selectedtopics - In-depth exposition of a number of important topics - Contributions by prominent researchers: Vladimir Bajic, Ming Li, Kenta Nakai, Limsoon Wong, Cathy Wu, etc. - Extensive, integrated references to background liter

Fundamentals of Data Mining in Genomics and Proteomics

Author : Werner Dubitzky
Publisher : Springer Science & Business Media
ISBN 13 : 0387475095
Total Pages : 300 pages
Book Rating : 4.3/5 (874 download)

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Book Synopsis Fundamentals of Data Mining in Genomics and Proteomics by : Werner Dubitzky

Download or read book Fundamentals of Data Mining in Genomics and Proteomics written by Werner Dubitzky and published by Springer Science & Business Media. This book was released on 2007-04-13 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents state-of-the-art analytical methods from statistics and data mining for the analysis of high-throughput data from genomics and proteomics. It adopts an approach focusing on concepts and applications and presents key analytical techniques for the analysis of genomics and proteomics data by detailing their underlying principles, merits and limitations.

Data Mining in Bioinformatics

Author : Jason T. L. Wang
Publisher : Springer Science & Business Media
ISBN 13 : 1846280591
Total Pages : 337 pages
Book Rating : 4.8/5 (462 download)

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Book Synopsis Data Mining in Bioinformatics by : Jason T. L. Wang

Download or read book Data Mining in Bioinformatics written by Jason T. L. Wang and published by Springer Science & Business Media. This book was released on 2005-09-02 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written especially for computer scientists, all necessary biology is explained. Presents new techniques on gene expression data mining, gene mapping for disease detection, and phylogenetic knowledge discovery.