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: Statistical diagnostics for cancer
    sub title: analyzing high-dimensional data
  name:
    name part: Emmert-Streib, Frank
    role:
      role term: editor.
  name:
    name part: Dehmer, Matthias
    name part: 1968-
    role:
      role term: editor.
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: gw
    date issued: 2013
    copyright date: 2013
    edition: First edition.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (xx, 292 pages) : illustrations (some color).
  abstract: This title discusses different methods for statistically analyzing and validating data created with high-throughput methods. It focuses on systems approaches, meaning that no single gene or protein forms the basis of the analysis but rather a more or less complex biological network.
  table of contents: Part one: General overview. Control of type I error rates for oncology biomarker discovery with high-throughput platforms -- Overview of public cancer databases, resources, and visualization tools -- Part two: Bayesian methods. Discovery of expression signatures in chronic myeloid leukemia by Bayesian model averaging -- Bayesian ranking and selection methods in microarray studies -- Multiclass classification via Bayesian variable selection with gene expression data -- Semisupervised methods for analyzing high-dimensional genomic data -- Part three: Network-based approaches -- Colorectal cancer and its molecular subsystems: construction, interpretation, and validation -- Network medicine: disease genes in molecular networks -- Inference of gene regulatory networks in breast and ovarian cancer by integrating different genomic data -- Network-module-based approaches in cancer data analysis -- Discriminant and network analysis to study origin of cancer -- Intervention and control of gene regulatory networks: theoretical framework and application to human melanoma gene regulation -- Part four: Phenotype influence of DNA copy number aberrations. Identification of recurrent DNA copy number aberrations in tumors -- The cancer cell, its entropy, and high-dimensional molecular data.
  note: edited by Frank Emmert-Streib and Matthias Dehmer.
  note: Edition statement from running title area.
  note: Includes bibliographical references and index.
  subject:
    topic: Cancer
    topic: Diagnosis
  subject:
    topic: Neoplasms
    topic: genetics
  subject:
    topic: Statistics as Topic
    topic: methods
  subject:
    topic: Cancer
    topic: Diagnosis
  classification: RC270 .S73 2013eb
  classification: 616.99/4075
  classification: QZ 241
  related item:
    title info:
      title: Statistical diagnostics for cancer
    origin info:
      publisher: Weinheim, germany : Wiley-Blackwell, [2013]
    identifier: (OCoLC)840878109
  related item:
    title info:
      title: Quantitative and network biology ; v. 3
  identifier: 9783527665471
  identifier: 3527665471
  identifier: 9783527665440
  identifier: 3527665447
  identifier: 9783527665457
  identifier: 3527665455
  identifier: 9781299158511
  identifier: 129915851X
  identifier: 9783527665464
  identifier: 3527665463
  identifier: 9783527332625
  identifier: 3527332626
  identifier: 447101 MIL
  identifier: https://doi.org/10.1002/9783527665471
  record info:
    record content source: E7B
    record creation date: 130225
    record change date: 20170124072412.6
    record identifier: ocn834600291
    language of cataloging:
      language term: eng