LEADER 05521nam 22006614a 450 001 9910144683203321 005 20170814174233.0 010 $a1-282-30744-4 010 $a9786612307447 010 $a0-470-31712-4 010 $a0-470-31796-5 035 $a(CKB)1000000000687577 035 $a(EBL)468845 035 $a(OCoLC)264621192 035 $a(SSID)ssj0000337507 035 $a(PQKBManifestationID)11297314 035 $a(PQKBTitleCode)TC0000337507 035 $a(PQKBWorkID)10294934 035 $a(PQKB)10546657 035 $a(MiAaPQ)EBC468845 035 $a(EXLCZ)991000000000687577 100 $a20030404d2004 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aExploration and analysis of DNA microarray and protein array data$b[electronic resource] /$fDhammika Amaratunga, Javier Cabrera 210 $aHoboken, NJ $cJohn Wiley$dc2004 215 $a1 online resource (270 p.) 225 1 $aWiley series in probability and statistics 300 $aDescription based upon print version of record. 311 $a0-471-27398-8 320 $aIncludes bibliographical references (p. 222-236) and indexes. 327 $aExploration and Analysis of DNA Microarray and Protein A rray Data; Contents; 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 327 $a3.1. Types of Microarray Experiments3.1.1. 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 327 $a3.3.5. Interpreting the Scanned Image3.4. 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 327 $a4.2.6. Assessment of Spot Quality4.3. 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 327 $a5.2. Variance Stabilizing Transformations5.3. 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 327 $a6.1. Replication 330 $aA cutting-edge guide to the analysis of DNA microarray data Genomics is one of the major scientific revolutions of this century, and the use of microarrays to rapidly analyze numerous DNA samples has enabled scientists to make sense of mountains of genomic data through statistical analysis. Today, microarrays are being used in biomedical research to study such vital areas as a drug's therapeutic value-or toxicity-and cancer-spreading patterns of gene activity. Exploration and Analysis of DNA Microarray and Protein Array Data answers the need for a comprehensive, cutting-edge overview of th 410 0$aWiley series in probability and statistics. 606 $aDNA microarrays$xStatistical methods 606 $aProtein microarrays$xStatistical methods 608 $aElectronic books. 615 0$aDNA microarrays$xStatistical methods. 615 0$aProtein microarrays$xStatistical methods. 676 $a572.8 676 $a572.8636 700 $aAmaratunga$b Dhammika$f1956-$0845792 701 $aCabrera$b Javier$0614089 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910144683203321 996 $aExploration and analysis of DNA microarray and protein array data$91954847 997 $aUNINA