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Exploration and Analysis of DNA Microarray and Protein Array Data (Wiley Series in Probability and Statistics)
 
 
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Exploration and Analysis of DNA Microarray and Protein Array Data (Wiley Series in Probability and Statistics) [Hardcover]

Dhammika Amaratunga (Author), Javier Cabrera (Author)
5.0 out of 5 stars  See all reviews (1 customer review)

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Book Description

0471273988 978-0471273981 October 21, 2003 1
A cutting-edge guide to the analysis of DNA microarray data

Genomics is one of the major scientific revolutions of this century, and the use of microarrays to rapidly analyze numerous DNA samples has enabled scientists to make sense of mountains of genomic data through statistical analysis. Today, microarrays are being used in biomedical research to study such vital areas as a drug’s therapeutic value–or toxicity–and cancer-spreading patterns of gene activity.

Exploration and Analysis of DNA Microarray and Protein Array Data answers the need for a comprehensive, cutting-edge overview of this important and emerging field. The authors, seasoned researchers with extensive experience in both industry and academia, effectively outline all phases of this revolutionary analytical technique, from the preprocessing to the analysis stage.

Highlights of the text include:

  • A review of basic molecular biology, followed by an introduction to microarrays and their preparation
  • Chapters on processing scanned images and preprocessing microarray data
  • Methods for identifying differentially expressed genes in comparative microarray experiments
  • Discussions of gene and sample clustering and class prediction
  • Extension of analysis methods to protein array data

Numerous exercises for self-study as well as data sets and a useful collection of computational tools on the authors’ Web site make this important text a valuable resource for both students and professionals in the field.


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Editorial Reviews

Review

...outlines methodologies for analyzing DNA microarrays and protein array data for industrial and academic applications... -- Genetic Engineering News, March 15, 2004

"...extremely well written...a comprehensive and up-to-date overview of this important field." (Journal of Environmental Quality, Jan/Feb 2005)

"…an extensive overview of current microarray data analysis…" (Clinical Chemistry, November 2004)

"The book would be useful to anyone studying or working with the DNA and protein arrays." (Annals of Biomedical Engineering, November 2004)

“...presents an extensive series of computational, visual, and statistical tools that are being used for exploring and analyzing microarray data...” (Quarterly of Applied Mathematics, Vol. LXII, No. 1, March 2004)

“...outlines methodologies for analyzing DNA microarrays and protein array data for industrial and academic applications...” (Genetic Engineering News, March 15, 2004)

From the Back Cover

A cutting-edge guide to the analysis of DNA microarray data

Genomics is one of the major scientific revolutions of this century, and the use of microarrays to rapidly analyze numerous DNA samples has enabled scientists to make sense of mountains of genomic data through statistical analysis. Today, microarrays are being used in biomedical research to study such vital areas as a drug’s therapeutic value–or toxicity–and cancer-spreading patterns of gene activity.

Exploration and Analysis of DNA Microarray and Protein Array Data answers the need for a comprehensive, cutting-edge overview of this important and emerging field. The authors, seasoned researchers with extensive experience in both industry and academia, effectively outline all phases of this revolutionary analytical technique, from the preprocessing to the analysis stage.

Highlights of the text include:

  • A review of basic molecular biology, followed by an introduction to microarrays and their preparation
  • Chapters on processing scanned images and preprocessing microarray data
  • Methods for identifying differentially expressed genes in comparative microarray experiments
  • Discussions of gene and sample clustering and class prediction
  • Extension of analysis methods to protein array data

Numerous exercises for self-study as well as data sets and a useful collection of computational tools on the authors’ Web site make this important text a valuable resource for both students and professionals in the field.


Product Details

  • Hardcover: 272 pages
  • Publisher: Wiley-Interscience; 1 edition (October 21, 2003)
  • Language: English
  • ISBN-10: 0471273988
  • ISBN-13: 978-0471273981
  • Product Dimensions: 9.7 x 6.2 x 0.9 inches
  • Shipping Weight: 1.2 pounds (View shipping rates and policies)
  • Average Customer Review: 5.0 out of 5 stars  See all reviews (1 customer review)
  • Amazon Best Sellers Rank: #1,739,632 in Books (See Top 100 in Books)

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3 of 10 people found the following review helpful:
5.0 out of 5 stars Excellent!, March 29, 2004
This review is from: Exploration and Analysis of DNA Microarray and Protein Array Data (Wiley Series in Probability and Statistics) (Hardcover)
This book provides an excellent overview of various methods in DNA microarray analysis. It explains most of the theories behind the algorithms, so that you know why the analyses are done in certain way. In fact, I find I get more insights from the book as compare to the research papers which tend to be brief.
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Inside This Book (learn more)
First Sentence:
Data analysis has, quite suddenly, begun to assume a prominent role in the life sciences. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
gth gene, biweight mean, spline normalization, spot intensity data, protein array data, rth cluster, mock array, quantile normalization, gene filtering, expression level measurements, technical replicates, concordance correlation coefficients, biological replicates, concordance map, gene expression microarray data, boxplot display, gene expression matrix, pooled standard errors, microarray gene expression data, microarray experiments, genome variation, significant genes, protein arrays, linkage hierarchical, microarray data analysis
Key Phrases - Capitalized Phrases (CAPs): (learn more)
John Wiley, Experiment Type, Applying Bayes, The Chipping Forecast
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