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: Methods of Microarray Data Analysis
    sub title: Papers from CAMDA '00
  title info:
    title: Papers from CAMDA 2000, December 18-19, 2000, Duke University, Durham, NC, USA
  name:
    name part: Lin, Simon M.
    role:
      role term: creator
  name:
    name part: Johnson, Kimberly F.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  genre: Electronic books.
  genre: Conference proceedings.
  origin info:
    place:
      place term: mau
    date issued: 2002
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (208 pages)
  abstract: Microarray technology is a major experimental tool for functional genomic explorations, and will continue to be a major tool throughout this decade and beyond. The recent explosion of this technology threatens to overwhelm the scientific community with massive quantities of data. Because microarray data analysis is an emerging field, very few analytical models currently exist. Methods of Microarray Data Analysis is one of the first books dedicated to this exciting new field. In a single reference, readers can learn about the most up-to-date methods ranging from data normalization, feature selection and discriminative analysis to machine learning techniques. Currently, there are no standard procedures for the design and analysis of microarray experiments. Methods of Microarray Data Analysis focuses on two well-known data sets, using a different method of analysis in each chapter. Real examples expose the strengths and weaknesses of each method for a given situation, aimed at helping readers choose appropriate protocols and utilize them for their own data set. In addition, web links are provided to the programs and tools discussed in several chapters. This book is an excellent reference not only for academic and industrial researchers, but also for core bioinformatics/genomics courses in undergraduate and graduate programs.
  note: edited by Simon M. Lin, Kimberly F. Johnson.
  note: Electronic resource.
  subject:
    topic: DNA microarrays
    topic: Data processing
    genre: Congresses
  subject:
    topic: Human genetics
  subject:
    topic: Medicine
  subject:
    topic: Oncology
  subject:
    topic: DNA microarrays
    topic: Data processing
  subject:
    topic: Human genetics
  subject:
    topic: Medicine
  subject:
    topic: Oncology
  classification: QP624.5.D726
  classification: 572.8/636
  identifier: 9781461508731 (electronic bk.)
  identifier: 1461508738 (electronic bk.)
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: I9W
    record creation date: 121227
    record change date: 20260423141400.6
    record identifier: in00003555818
    language of cataloging:
      language term: eng