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Ting Lee Mei-Ling - Analysis of Microarray Gene Expression Data - 9780792370871 - V9780792370871
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Analysis of Microarray Gene Expression Data

€ 187.57
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Description for Analysis of Microarray Gene Expression Data hardcover. 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. This book provides readers with an integrated presentation of various topics on analyzing microarray data. Series: Trends in Logic. Num Pages: 377 pages, 18 black & white illustrations, biography. BIC Classification: PSAK1. Category: (G) General (US: Trade); (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 235 x 155 x 21. Weight in Grams: 774.
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.

Product Details

Format
Hardback
Publication date
2004
Publisher
Kluwer Academic Publishers United States
Number of pages
377
Condition
New
Series
Trends in Logic
Number of Pages
377
Place of Publication
Dordrecht, Netherlands
ISBN
9780792370871
SKU
V9780792370871
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

Reviews for Analysis of Microarray Gene Expression Data
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 ... Read more

Goodreads reviews for Analysis of Microarray Gene Expression Data


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