Exploration and Analysis of DNA Microarray and Protein Array Data
by Amaratunga, Dhammika; Cabrera,... | HC | VeryGood
US $16.49
Approximately£12.27
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“May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend ”... Read moreAbout condition
Very Good
A book that has been read and does not look new, but is in excellent condition. No obvious damage to the book cover, with the dust jacket (if applicable) included for hard covers. No missing or damaged pages, no creases or tears, no underlining or highlighting of text, and no writing in the margins. Some identifying marks on the inside cover, but this is minimal. Very little wear and tear. See the seller’s listing for full details and description of any imperfections.
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eBay item number:375623432621
Item specifics
- Condition
- Very Good
- Seller notes
- Binding
- Hardcover
- Book Title
- Exploration and Analysis of DNA Microarray and Protein Array Data
- Weight
- 1 lbs
- Product Group
- Book
- IsTextBook
- Yes
- ISBN
- 9780471273981
About this product
Product Identifiers
Publisher
Wiley & Sons, Incorporated, John
ISBN-10
0471273988
ISBN-13
9780471273981
eBay Product ID (ePID)
2367596
Product Key Features
Number of Pages
272 Pages
Publication Name
Exploration and Analysis of D N A Microarray and Protein Array Data
Language
English
Publication Year
2003
Subject
Life Sciences / Biochemistry, Probability & Statistics / General, Life Sciences / Genetics & Genomics
Type
Textbook
Subject Area
Mathematics, Science
Series
Wiley Series in Probability and Statistics Ser.
Format
Hardcover
Dimensions
Item Height
0.9 in
Item Weight
0 Oz
Item Length
9.7 in
Item Width
6.4 in
Additional Product Features
Intended Audience
Scholarly & Professional
LCCN
2003-050097
Reviews
"...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), "The book by Amaratunga and Cabrera provides...excellent coverage..." ( Journal of Statistical Computation & Simulation , January 2005) "...overall, it is the phrase 'exploration of microarray data' that best describes what distinguishes this book from all the others." ( The Quarterly Review of Biology , September 2005) "...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)
Dewey Edition
21
Series Volume Number
446
Illustrated
Yes
Dewey Decimal
572.8/636
Table Of Content
Preface.1 A Brief Introduction.1.1 A Note on Exploratory Data Analysis.1.2 Computing Considerations and Software.1.3 A Brief Outline of the Book.2 Genomics Basics.2.1 Genes.2.2 DNA.2.3 Gene Expression.2.4 Hybridization Assays and Other Laboratory Techniques.2.5 The Human Genome.2.6 Genome Variations and Their Consequences.2.7 Genomics.2.8 The Role of Genomics in Pharmaceutical Research.2.9 Proteins.2.10 Bioinformatics.Supplementary Reading.Exercises.3 Microarrays.3.1 Types of Microarray Experiments.3.1.1 Experiment Type 1: Tissue-Specific Gene Expression.3.1.2 Experiment Type 2: Developmental Genetics.3.1.3 Experiment Type 3: Genetic Diseases.3.1.4 Experiment Type 4: Complex Diseases.3.1.5 Experiment Type 5: Pharmacological Agents.3.1.6 Experiment Type 6: Plant Breeding.3.1.7 Experiment Type 7: Environmental Monitoring.3.2 A Very Simple Hypothetical Microarray Experiment.3.3 A Typical Microarray Experiment.3.3.1 Microarray Preparation.3.3.2 Sample Preparation.3.3.3 The Hybridization Step.3.3.4 Scanning the Microarray.3.3.5 Interpreting the Scanned Image.3.4 Multichannel cDNA Microarrays.3.5 Oligonucleotide Arrays.3.6 Bead-Based Arrays.3.7 Confirmation of Microarray Results.Supplementary Reading and Electronic References.Exercises.4 Processing the Scanned Image.4.1 Converting the Scanned Image to the Spotted Image.4.1.1 Gridding.4.1.2 Segmentation.4.1.3 Quantification.4.2 Quality Assessment.4.2.1 Visualizing the Spotted Image.4.2.2 Numerical Evaluation of Array Quality.4.2.3 Spatial Problems.4.2.4 Spatial Randomness.4.2.5 Quality Control of Arrays.4.2.6 Assessment of Spot Quality.4.3 Adjusting for Background.4.3.1 Estimating the Background.4.3.2 Adjusting for the Estimated Background.4.4 Expression Level Calculation for Two-Channel cDNA Microarrays.4.5 Expression Level Calculation for Oligonucleotide Arrays.4.5.1 The Average Difference.4.5.2 A Weighted Average Difference.4.5.3 Perfect Matches Only.4.5.4 Background Adjustment Approach.4.5.5 Model-Based Approach.4.5.6 Absent-Present Calls.Supplementary Reading.Exercises.5 Preprocessing Microarray Data.5.1 Logarithmic Transformation.5.2 Variance Stabilizing Transformations.5.3 Sources of Bias.5.4 Normalization.5.5 Intensity-Dependent Normalization.5.5.1 Smooth Function Normalization.5.5.2 Quantile Normalization.5.5.3 Normalization of Oligonucleotide Arrays.5.5.4 Normalization of Two-Channel Arrays.5.5.5 Spatial Normalization.5.5.6 Stagewise Normalization.5.6 Judging the Success of a Normalization.5.7 Outlier Identification.5.7.1 Nonresistant Rules for Outlier Identification.5.7.2 Resistant Rules for Outlier Identification.5.8 Assessing Replicate Array Quality.Exercises.6 Summarization.6.1 Replication.6.2 Technical Replicates.6.3 Biological Replicates.6.4 Experiments with Both Technical and Biological Replicates.6.5 Multiple Oligonucleotide Arrays.6.6 Estimating Fold Change in Two-Channel Experiments.6.7 Bayes Estimation of Fold Change.Exercises.7 Two-Group Comparative Experiments.7.1 Basics of Statistical Hypothesis Testing.7.2 Fold Changes.7.3 The Two-Sample t Test.7.4 Diagnostic Checks.7.5 Robust t Tests.7.6 Randomization Tests.7.7 The Mann-Whitney-Wilcoxon Rank Sum Test.7.8 Multiplicity.7.8.1 A Pragmatic Approach to the Issue of Multiplicity.7.8.2 Simple Multiplicity Adjustments.7.8.3 Sequential Multiplicity Adjustments.7.9 The False Discovery Rate.7.9.1 The Positive False Discovery Rate.7.10 Small
Synopsis
The emergence of genomics, the study of genes, is one of the major scientific revolutions of this century. Microarrays, a method used to analyse numerous DNA samples rapidly, enables scientists to make sense of this mountain of data using statistical analysis. They are being used in such areas of biomedical research as studying patterns for gene activity that cause cancers to spread. This book presents a comprehensive methodology for analysing DNA microarray and protein array data., 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., 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#146;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#146; Web site make this important text a valuable resource for both students and professionals in the field., 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.
LC Classification Number
QP624.5.D726
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- y***e (1037)- Feedback left by buyer.Past monthVerified purchase🏆 SUPER STAR🤩 AMAZING PHOTOS 🎯 ACCURATE DESCRIPTION ✏️ GENUINE PRODUCTS 💎 HIGH QUALITY 🍯 SUPER PRICES 💰 EASY TO WORK WITH 🍰 ECONOMY HANDLING ⏱️ FAST SHIPPING 🚀 BUBBLE PACKAGE 📦 ARRIVED WITHIN DAYS 🌎 EXCEPTIONAL COMMUNICATION 🎙️ OUTSTANDING CUSTOMER SERVICE 🛎️ GREAT SENSE OF HUMOR 🍿 TOTAL ASSET TO THE EBAY-ECO SYSTEM 🥇 SAVED SELLER 🎱 PROMT REPLY FOR RETURNS 🎯 WOULD BUY FROM AGAIN 🧲 UNDER PROMISES OVER DELIVERS ⛳️ MADE ME VERY HAPPY 🌈 LEFT POSITIVE FEEDBACK 🌼 THANK YOU! 😇 AAAA
- f***f (1514)- Feedback left by buyer.Past 6 monthsVerified purchaseThe seller was incredibly communicative and was willing to lump together multiple items I'd purchased to combine shipping, which was greatly appreciated. The item itself was in perfect condition, looks better than in the photo, and was packaged well to avoid any damage during shipping. It arrived quickly and without any issues! Excellent Seller, Goes the Extra Mile. Smooth Transaction, Shipped Very Quickly, As Advertised; Good Price; Well Packaged & Delivered Within a Few Days. A+
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