Methods of Microarray Data Analysis: Papers from CAMDA â 00
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ISBN 10: 0792375645 ISBN 13: 9780792375647
Editore: Springer, 2001
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Methods of Microarray Data Analysis: Papers from CAMDA â 00 This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. . Codice articolo 7719-9780792375647
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Microarray technology is a major experimental tool for functional genomic explorations, and will continue to be a major tool throughout this decade and beyond. The recent explosion of this technology threatens to overwhelm the scientific community with massive quantities of data. Because microarray data analysis is an emerging field, very few analytical models currently exist. Methods of Microarray Data Analysis is one of the first books dedicated to this exciting new field. In a single reference, readers can learn about the most up-to-date methods ranging from data normalization, feature selection and discriminative analysis to machine learning techniques.
Currently, there are no standard procedures for the design and analysis of microarray experiments. Methods of Microarray Data Analysis focuses on two well-known data sets, using a different method of analysis in each chapter. Real examples expose the strengths and weaknesses of each method for a given situation, aimed at helping readers choose appropriate protocols and utilize them for their own data set. In addition, web links are provided to the programs and tools discussed in several chapters. This book is an excellent reference not only for academic and industrial researchers, but also for core bioinformatics/genomics courses in undergraduate and graduate programs.
Informazioni sull?autore: Simon M. Lin is Manager of Duke Bioinformatics Shared Resource, Duke University Medical Center. Kimberly F. Johnson is Director of Duke Cancer Center Information Systems and Director of Duke Bioinformatics Shared Resource, Duke University Medical Center.
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Titolo: Methods of Microarray Data Analysis: Papers ...
Casa editrice: Springer
Data di pubblicazione: 2001
Legatura: hardcover
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Methods of Microarray Data Analysis Papers from CAMDA '00
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Kluwer Academic Publishers, Boston, MA, 2001
ISBN 10: 0792375645
ISBN 13: 9780792375647
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Hardcover. Condizione: Very Good. 2nd Printing. Small 4to 9" - 11" tall; 189 pages; Glossy Illustrated Boards, No Dust Jacket, Book Tight, Text is clean no markings seen Page 14 manufacturing defect Page was cut at wrong angle; BX260. Codice articolo W7491
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Gebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Papers from CAMDA 2000, December 18-19, 2000, Duke University, Durham, NC, USA Simon M. Lin is Manager of Duke Bioinformatics Shared Resource, Duke University Medical Center.Kimberly F. Johnson is Director of Duke Cancer Center Inform. Codice articolo 5970256
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Methods of Microarray Data Analysis | Papers from CAMDA '00
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Buch. Condizione: Neu. Methods of Microarray Data Analysis | Papers from CAMDA '00 | Kimberly F. Johnson (u. a.) | Buch | Einband - fest (Hardcover) | Englisch | 2001 | Springer US | EAN 9780792375647 | Verantwortliche Person für die EU: Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, productsafety[at]springernature[dot]com | Anbieter: preigu Print on Demand. Codice articolo 102549560
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Condizione: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide. Codice articolo ABNR-274440
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Methods of Microarray Data Analysis
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Springer US, Springer New York Nov 2001, 2001
ISBN 10: 0792375645
ISBN 13: 9780792375647
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Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Microarray technology is a major experimental tool for functional genomic explorations, and will continue to be a major tool throughout this decade and beyond. The recent explosion of this technology threatens to overwhelm the scientific community with massive quantities of data. Because microarray data analysis is an emerging field, very few analytical models currently exist. Methods of Microarray Data Analysis is one of the first books dedicated to this exciting new field. In a single reference, readers can learn about the most up-to-date methods ranging from data normalization, feature selection and discriminative analysis to machine learning techniques.Currently, there are no standard procedures for the design and analysis of microarray experiments. Methods of Microarray Data Analysis focuses on two well-known data sets, using a different method of analysis in each chapter. Real examples expose the strengths and weaknesses of each method for a given situation, aimed at helping readers choose appropriate protocols and utilize them for their own data set. In addition, web links are provided to the programs and tools discussed in several chapters. This book is an excellent reference not only for academic and industrial researchers, but also for core bioinformatics/genomics courses in undergraduate and graduate programs. 208 pp. Englisch. Codice articolo 9780792375647
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Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Microarray technology is a major experimental tool for functional genomic explorations, and will continue to be a major tool throughout this decade and beyond. The recent explosion of this technology threatens to overwhelm the scientific community with massive quantities of data. Because microarray data analysis is an emerging field, very few analytical models currently exist. Methods of Microarray Data Analysis is one of the first books dedicated to this exciting new field. In a single reference, readers can learn about the most up-to-date methods ranging from data normalization, feature selection and discriminative analysis to machine learning techniques. Currently, there are no standard procedures for the design and analysis of microarray experiments. Methods of Microarray Data Analysis focuses on two well-known data sets, using a different method of analysis in each chapter. Real examples expose the strengths and weaknesses of each method for a given situation, aimed at helping readers choose appropriate protocols and utilize them for their own data set. In addition, web links are provided to the programs and tools discussed in several chapters. This book is an excellent reference not only for academic and industrial researchers, but also for core bioinformatics/genomics courses in undergraduate and graduate programs. Codice articolo 9780792375647
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Condizione: New. pp. 208. Codice articolo 5676564
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