rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Analysis of microarray gene expression data
  name:
    name part: Lee, Mei-Ling Ting.
    role:
      role term: creator
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: mau
    date issued: 2004
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (xvi, 371 pages) : illustrations (some color)
  abstract: 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.
  table of contents: Part I Genome Probing Using Microarrays -- 2. DNA, RNA, Proteins, and Gene Expression 7 -- 2.1 The Molecules of Life 7 -- 2.2 Genes 8 -- 2.3 DNA 9 -- 2.4 RNA 12 -- 2.5 The Genetic Code 13 -- 2.6 Proteins 14 -- 2.7 Gene Expression and Microarrays 15 -- 2.8 Complementary DNA (cDNA) 16 -- 2.9 Nucleic Acid Hybridization 16 -- 3. Microarray Technology 19 -- 3.1 Transcriptional Profiling 20 -- 3.1.1 Sequencing-based Transcriptional Profiling 20 -- 3.1.2 Hybridization-based Transcriptional Profiling 22 -- 3.2 Microarray Technological Platforms 23 -- 3.3 Probe Selection and Synthesis 24 -- 3.4 Array Manufacturing 30 -- 3.5 Target Labeling 31 -- 3.6 Hybridization 34 -- 3.7 Scanning and Image Analysis 35 -- 3.8 Microarray Data 36 -- 3.8.1 Spotted Array Data 36 -- 3.8.2 In-situ Oligonucleotide Array Data 37 -- 3.9 So I Have My Microarray Data -- What's Next? 39 -- 3.9.1 Confirming Microarray Results 39 -- 3.9.2 Northern Blot Analysis 40 -- 3.9.3 Reverse-transcription PCR and Quantitative Real-time RT-PCR 40 -- 4. Inherent Variability in Array Data 45 -- 4.1 Genetic Populations 45 -- 4.2 Variability in Gene Expression Levels 47 -- 4.2.1 Variability Due to Specimen Sampling 47 -- 4.2.2 Variability Due to Cell Cycle Regulation 48 -- 4.2.3 Experimental Variability 48 -- 4.3 Test the Variability by Replication 50 -- 4.3.1 Duplicated Spots 50 -- 4.3.2 Multiple Arrays and Biological Replications 51 -- 5. Background Noise 53 -- 5.1 Pixel-by-pixel Analysis of Individual Spots 53 -- 5.2 General Models for Background Noise 56 -- 5.2.1 Additive Background Noise 57 -- 5.2.2 Correction for Background Noise 58 -- 5.2.3 Example: Replication Test Data Set 59 -- 5.2.4 Noise Models for GeneChip Arrays 62 -- 5.2.5 Elusive Nature of Background Noise 63 -- 6. Transformation and Normalization 67 -- 6.1 Data Transformations 67 -- 6.1.1 Logarithmic Transformation 67 -- 6.1.2 Square Root Transformation 68 -- 6.1.3 Box-Cox Transformation Family 69 -- 6.1.4 Affine Transformation 69 -- 6.1.5 The Generaliz…
  table of contents: -- 15.5.7 Applications 246 -- 15.5.8 Comparisons of Clustering Algorithms 247 -- 15.6 K-means Clustering 247 -- 15.7 Bayesian Cluster Analysis 248 -- 15.8 Two-way Clustering Methods 248 -- 15.9 Reliability of Clustering Patterns for Microarray Data 249 -- 16. Principal Components and Singular Value Decomposition 251 -- 16.1 Principal Component Analysis 251 -- 16.1.1 Applications of Dominant Principal Components 253 -- 16.2 Singular-value Decomposition 254 -- 16.3 Computational Procedures for SVD 255 -- 16.4 Eigengenes and Eigenarrays 256 -- 16.5 Fraction of Eigenexpression 256 -- 16.6 Generalized Singular Value Decomposition 257 -- 16.7 Robust Singular Value Decomposition 257 -- 17. Self-Organizing Maps 261 -- 17.1 The Basic Logic of a SOM 261 -- 17.2 The SOM Updating Algorithm 265 -- 17.3 Program GENECLUSTER 267 -- 17.4 Supervised SOM 268 -- 17.5 Applications 268 -- 17.5.1 Using SOM to Cluster Genes 268 -- 17.5.2 Using SOM to Cluster Tumors 269 -- 17.5.3 Multiclass Cancer Diagnosis 270 -- Part IV Supervised Learning Methods -- 18. Discrimination and Classification 277 -- 18.1 Fisher's Linear Discriminant Analysis 278 -- 18.2 Maximum Likelihood Discriminant Rules 279 -- 18.3 Bayesian Classification 280 -- 18.4 k-Nearest Neighbor Classifier 281 -- 18.5 Neighborhood Analysis 282 -- 18.6 A Gene-casting Weighted Voting Scheme 283 -- 18.7 Example: Classification of Leukemia Samples 284.
  note: Mei-Ling Ting Lee.
  note: Electronic resource.
  note: Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002. http://purl.oclc.org/DLF/benchrepro0212 MiAaHDL
  note: digitized 2011 HathiTrust Digital Library committed to preserve pda MiAaHDL
  note: Includes bibliographical references (pages 351-365) and indexes.
  subject:
    topic: DNA microarrays
    topic: Statistical methods
  subject:
    topic: Gene expression
    topic: Statistical methods
  subject:
    topic: Statistics, general
  subject:
    topic: Cancer Research
  subject:
    topic: Human Genetics
  subject:
    topic: Mathematical Biology in General
  subject:
    topic: Evolutionary Biology
  subject:
    topic: Puces à ADN
    topic: Méthodes statistiques
  subject:
    topic: Expression génique
    topic: Méthodes statistiques
  subject:
    topic: SCIENCE
    topic: Life Sciences
    topic: Genetics & Genomics
  subject:
    topic: DNA microarrays
    topic: Statistical methods
  subject:
    topic: Gene expression
    topic: Statistical methods
  subject:
    topic: Oligonucleotide Array Sequence Analysis
    topic: methods
  subject:
    topic: Gene Expression
  subject:
    topic: Oligonucleotide Array Sequence Analysis
    topic: statistics & numerical data
  classification: QP624.5.D726 L44 2004eb
  classification: 572.8/636
  classification: 2004 N-579
  classification: QZ 52 L479a 2004
  classification: Q786
  related item:
    title info:
      title: Analysis of microarray gene expression data
    name:
      name part: Lee, Mei-Ling Ting.
    origin info:
      publisher: Boston : Kluwer Academic, ©2004
    identifier: (DLC) 2004041531
    identifier: (OCoLC)54081725
  identifier: 1402077882 (electronic bk.)
  identifier: 9781402077883 (electronic bk.)
  identifier: 0792370872
  identifier: 9780792370871
  identifier: 9781402077890
  identifier: 1402077890
  identifier: EBL225968 eBook Library
  identifier: https://proxy.library.tamu.edu/login
  related item:
    location:
      url: https://proxy.library.tamu.edu/login
  record info:
    record content source: N$T
    record creation date: 040603
    record change date: 20220105142302.0
    record identifier: in00002040113
    language of cataloging:
      language term: eng