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
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxu
    date issued: 2004
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XVI, 377 p. 18 illus. online resource.
  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: DNA, RNA, Protein, and Gene Expression -- Microarray Technology -- Inherent Variability in Microarray Data -- Background Noise -- Transformation and Normalization -- Missing Values in Microarray Data -- Saturated Intensity Readings in Microarray Data -- Experimental Design -- Anova Models for Michrorray Data -- Multiple Testing in Microarray Studies -- Permutation Tests in Microarray Data -- Bayesian Methods for Microarray Data -- Power and Sample Size Considerations at the Planning Stage -- Cluster Analysis -- Principal Components and Singular Value Decomposition -- Self-organizing Maps -- Discrimination and Classification -- Artificial Neural Networks -- Support Vector Machines.
  note: by Mei-Ling Ting Lee.
  subject:
    topic: Life sciences
  subject:
    topic: Cancer research
  subject:
    topic: Human genetics
  subject:
    topic: Biochemistry
  subject:
    topic: Evolutionary biology
  subject:
    topic: Biomathematics
  subject:
    topic: Statistics
  subject:
    topic: Life Sciences
  subject:
    topic: Biochemistry, general
  subject:
    topic: Statistics, general
  subject:
    topic: Mathematical and Computational Biology
  subject:
    topic: Human Genetics
  subject:
    topic: Evolutionary Biology
  subject:
    topic: Cancer Research
  classification: QH345
  classification: QD415-436
  classification: 572
  related item:
    title info:
      title: Springer eBooks
  identifier: 9781402077883
  identifier: http://dx.doi.org/10.1007/b129531
  record info:
    record creation date: 100301
    record change date: 20151204191445.0
    record identifier: 978-1-4020-7788-3