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Analysis of Microarray Gene Expression Data by Mei-Ling Ting Lee: New

US $188.13
Approximately£139.97
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eBay item number:282828907957
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Item specifics

Condition
New: A new, unread, unused book in perfect condition with no missing or damaged pages. See the ...
Book Title
Analysis of Microarray Gene Expression Data
Publication Date
2004-04-30
Pages
377
ISBN
9780792370871

About this product

Product Identifiers

Publisher
Springer
ISBN-10
0792370872
ISBN-13
9780792370871
eBay Product ID (ePID)
30750084

Product Key Features

Number of Pages
Xvi, 377 Pages
Language
English
Publication Name
Analysis of Microarray Gene Expression Data
Publication Year
2004
Subject
Life Sciences / Biochemistry, Probability & Statistics / General, Life Sciences / Genetics & Genomics, Applied
Type
Textbook
Subject Area
Mathematics, Science
Author
Mei-Ling Ting Lee
Format
Hardcover

Dimensions

Item Weight
29.5 Oz
Item Length
9.3 in
Item Width
6.1 in

Additional Product Features

Intended Audience
Scholarly & Professional
LCCN
2004-041531
Dewey Edition
22
Reviews
From the reviews: "This book aims to be a comprehensive work on statistical techniques for analysis of microarray data. a? the book contains an elaborate discussion on several variants of useful ANOVA models. a? Standard multiple testing and permutation methods are well illustrated. a? In conclusion, the book is a successful attempt to be a complete reference work for microarray data analysis. It is certainly a rich source of references." (M. A. van de Wiel, Kwantitatieve Methoden, Issue 3, 2006), From the reviews:"This book aims to be a comprehensive work on statistical techniques for analysis of microarray data. … the book contains an elaborate discussion on several variants of useful ANOVA models. … Standard multiple testing and permutation methods are well illustrated. … In conclusion, the book is a successful attempt to be a complete reference work for microarray data analysis. It is certainly a rich source of references." (M. A. van de Wiel, Kwantitatieve Methoden, Issue 3, 2006), From the reviews: "This book aims to be a comprehensive work on statistical techniques for analysis of microarray data. … the book contains an elaborate discussion on several variants of useful ANOVA models. … Standard multiple testing and permutation methods are well illustrated. … In conclusion, the book is a successful attempt to be a complete reference work for microarray data analysis. It is certainly a rich source of references." (M. A. van de Wiel, Kwantitatieve Methoden, Issue 3, 2006), From the reviews: "This book aims to be a comprehensive work on statistical techniques for analysis of microarray data. ... the book contains an elaborate discussion on several variants of useful ANOVA models. ... Standard multiple testing and permutation methods are well illustrated. ... In conclusion, the book is a successful attempt to be a complete reference work for microarray data analysis. It is certainly a rich source of references." (M. A. van de Wiel, Kwantitatieve Methoden, Issue 3, 2006)
Number of Volumes
1 vol.
Illustrated
Yes
Dewey Decimal
572.8/636
Table Of Content
DNA, RNA, Protein, and Gene Expression.- Microarray Technology.- Inherent Variability in Microarray Data.- Background Noise.- Transformation and Normalization.- Missing Values in Microarray Data.- Saturated Intensity Readings in Microarray Data.- Experimental Design.- Anova Models for Michrorray Data.- Multiple Testing in Microarray Studies.- Permutation Tests in Microarray Data.- Bayesian Methods for Microarray Data.- Power and Sample Size Considerations at the Planning Stage.- Cluster Analysis.- Principal Components and Singular Value Decomposition.- Self-organizing Maps.- Discrimination and Classification.- Artificial Neural Networks.- Support Vector Machines.
Synopsis
After genomic sequencing, microarray technology has emerged as a widely used platform for genomic studies in the life sciences. Microarray technology provides a systematic way to survey DNA and RNA variation. With the abundance of data produced from microarray studies, however, the ultimate impact of the studies on biology will depend heavily on data mining and statistical analysis. The contribution of this book is to provide readers with an integrated presentation of various topics on analyzing microarray data.
LC Classification Number
QD415-436

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