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Big Data Analysis for Bioinformatics and Biomedical Discoveries, 


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Цена: 18374.00р.
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Название:  Big Data Analysis for Bioinformatics and Biomedical Discoveries
ISBN: 9781498724524
Издательство: Taylor&Francis
Классификация:

ISBN-10: 1498724523
Обложка/Формат: Hardback
Страницы: 294
Вес: 0.59 кг.
Дата издания: 10.12.2015
Серия: Chapman & hall/crc computational biology series
Язык: English
Иллюстрации: 17 tables, black and white; 23 illustrations, black and white
Размер: 162 x 241 x 21
Читательская аудитория: General (us: trade)
Ключевые слова: Biology, life sciences, MATHEMATICS / Probability & Statistics / General,SCIENCE / Biotechnology,SCIENCE / Life Sciences / Biology
Основная тема: Bioinformatics
Ссылка на Издательство: Link
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Поставляется из: Европейский союз
Описание:

Demystifies Biomedical and Biological Big Data Analyses

Big Data Analysis for Bioinformatics and Biomedical Discoveries provides a practical guide to the nuts and bolts of Big Data, enabling you to quickly and effectively harness the power of Big Data to make groundbreaking biological discoveries, carry out translational medical research, and implement personalized genomic medicine. Contributing to the NIH Big Data to Knowledge (BD2K) initiative, the book enhances your computational and quantitative skills so that you can exploit the Big Data being generated in the current omics era.

The book explores many significant topics of Big Data analyses in an easily understandable format. It describes popular tools and software for Big Data analyses and explains next-generation DNA sequencing data analyses. It also discusses comprehensive Big Data analyses of several major areas, including the integration of omics data, pharmacogenomics, electronic health record data, and drug discovery.

Accessible to biologists, biomedical scientists, bioinformaticians, and computer data analysts, the book keeps complex mathematical deductions and jargon to a minimum. Each chapter includes a theoretical introduction, example applications, data analysis principles, step-by-step tutorials, and authoritative references.




Computational Methods With Applications In Bioinformatics Analysis

Автор: Tsai Jeffrey J P & Ng Ka-Lok
Название: Computational Methods With Applications In Bioinformatics Analysis
ISBN: 9813207973 ISBN-13(EAN): 9789813207974
Издательство: World Scientific Publishing
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Цена: 13622.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание:

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.

Big Data Analytics In Bioinformatics And Healthcare

Автор: Wang, Li & Perrizo
Название: Big Data Analytics In Bioinformatics And Healthcare
ISBN: 1466666110 ISBN-13(EAN): 9781466666115
Издательство: Mare Nostrum (Eurospan)
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Цена: 37145.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: As technology evolves and electronic data becomes more complex, digital medical record management and analysis becomes a challenge. In order to discover patterns and make relevant predictions based on large data sets, researchers and medical professionals must find new methods to analyze and extract relevant health information.Big Data Analytics in Bioinformatics and Healthcare merges the fields of biology, technology, and medicine in order to present a comprehensive study on the emerging information processing applications necessary in the field of electronic medical record management. Complete with interdisciplinary research resources, this publication is an essential reference source for researchers, practitioners, and students interested in the fields of biological computation, database management, and health information technology, with a special focus on the methodologies and tools to manage massive and complex electronic information.

Data Warehousing for Biomedical Informatics

Автор: Biehl
Название: Data Warehousing for Biomedical Informatics
ISBN: 1482215217 ISBN-13(EAN): 9781482215212
Издательство: Taylor&Francis
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Цена: 19906.00 р.
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Описание:

Data Warehousing for Biomedical Informatics is a step-by-step how-to guide for designing and building an enterprise-wide data warehouse across a biomedical or healthcare institution, using a four-iteration lifecycle and standardized design pattern. It enables you to quickly implement a fully-scalable generic data architecture that supports your organization's clinical, operational, administrative, financial, and research data. By following the guidelines in this book, you will be able to successfully progress through the Alpha, Beta, and Gamma versions, plus fully implement your first production release in about a year.

The Alpha version allows you to implement just enough of the basic design pattern to illustrate its core capabilities while loading a small sampling of limited data for demonstration purposes. This provides an easy way for everyone involved to visualize the new warehouse paradigm by actually examining a core subset of the working system. You can finish the Alpha version, also referred to as the proof-of-concept, in as little as 3-4 weeks.

The Beta version, which can be completed in about 2-3 months, adds required functionality and much more data. It allows you to get the full warehouse up and running quickly, in order to facilitate longer-term planning, user and support team training, and setup of the operational environment. The Gamma version, which is a fully-functional system-though still lacking data-can be implemented in about 3-4 months. About one year after starting, you will be ready to launch Release 1.0 as a complete and secure data warehouse.

Understanding Clinical Data Analysis

Автор: Cleophas
Название: Understanding Clinical Data Analysis
ISBN: 3319395858 ISBN-13(EAN): 9783319395852
Издательство: Springer
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Цена: 15372.00 р.
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Описание: This textbook consists of ten chapters, and is a must-read to all medical and health professionals, who already have basic knowledge of how to analyze their clinical data, but still, wonder, after having done so, why procedures were performed the way they were. The book is also a must-read to those who tend to submerge in the flood of novel statistical methodologies, as communicated in current clinical reports, and scientific meetings.In the past few years, the HOW-SO of current statistical tests has been made much more simple than it was in the past, thanks to the abundance of statistical software programs of an excellent quality. However, the WHY-SO may have been somewhat under-emphasized. For example, why do statistical tests constantly use unfamiliar terms, like probability distributions, hypothesis testing, randomness, normality, scientific rigor, and why are Gaussian curves so hard, and do they make non-mathematicians getting lost all the time? The book will cover the WHY-SOs.


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