Methods of Microarray Data Analysis II: Papers from CAMDA `01, Simon M. Lin (Editor), Kimberly F. Johnson

Автор: Berrar Daniel P., Dubitzky Werner, Granzow Martin
Название: A Practical Approach to Microarray Data Analysis
ISBN: 1402072600 ISBN-13(EAN): 9781402072604
Издательство: Springer
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Цена: 4890.00 р. 6986.00 -30%
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Описание: A Practical Approach to Microarray Data Analysis is for all life scientists, statisticians, computer experts, technology developers, managers, and other professionals tasked with developing, deploying, and using microarray technology including the necessary computational infrastructure and analytical tools. The book addresses the requirement of scientists and researchers to gain a basic understanding of microarray analysis methodologies and tools. It is intended for students, teachers, researchers, and research managers who want to understand the state of the art and of the presented methodologies and the areas in which gaps in our knowledge demand further research and development. The book is designed to be used by the practicing professional tasked with the design and analysis of microarray experiments or as a text for a senior undergraduate- or graduate level course in analytical genetics, biology, bioinformatics, computational biology, statistics and data mining, or applied computer science. Key topics covered include: -Format of result from data analysis, analytical modeling/experimentation; -Validation of analytical results; -Data analysis/Modeling task; -Analysis/modeling tools; -Scientific questions, goals, and tasks; -Application; -Data analysis methods; -Criteria for assessing analysis methodologies, models, and tools.

Автор: Simone Mocellin
Название: Microarray Technology and Cancer Gene Profiling
ISBN: 1441922989 ISBN-13(EAN): 9781441922984
Издательство: Springer
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Цена: 27951.00 р.
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Описание: Given the revolutionary implications that the use of this technology might have in the clinical management of cancer patients, the principles of DNA array-based tumor gene profiling must be clearly understood for the data to be correctly interpreted and appreciated.