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: Computational network analysis with R
    sub title: applications in biology, medicine, and chemistry
  name:
    name part: Dehmer, Matthias
    name part: 1968-
    role:
      role term: editor.
  name:
    name part: Shi, Yongtang
    role:
      role term: editor.
  name:
    name part: Emmert-Streib, Frank
    role:
      role term: editor.
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: gw
    date issued: 2016
    copyright date: 2017
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource
  abstract: This new title in the well-established "Quantitative Network Biology" series includes innovative and existing methods for analyzing network data in such areas as network biology and chemoinformatics. With its easy-to-follow introduction to the theoretical background and application-oriented chapters, the book demonstrates that R is a powerful language for statistically analyzing networks and for solving such large-scale phenomena as network sampling and bootstrapping. Written by editors and authors with an excellent track record in the field, this is the ultimate reference for R in Network Analysis.
  table of contents: Using the DiffCorr Package to Analyze and Visualize Differential Correlations in Biological Networks / Atsushi Fukushima, Kozo Nishida -- Analytical Models and Methods for Anomaly Detection in Dynamic, Attributed Graphs / Benjamin A Miller, Nicholas Arcolano, Stephen Kelley, Nadya T Bliss -- Bayesian Computational Algorithms for Social Network Analysis / Alberto Caimo, Isabella Gollini -- Threshold Degradation in R Using iDEMO / Chien-Yu Peng, Ya-Shan Cheng -- Optimization of Stratified Sampling with the R Package SamplingStrata: Applications to Network Data / Marco Ballin, Giulio Barcaroli -- Exploring the Role of Small Molecules in Biological Systems Using Network Approaches / Rajarshi Guha, Sourav Das -- Performing Network Alignments with R / Qiang Huang, Ling-Yun Wu -- ℓ1-Penalized Methods in High-Dimensional Gaussian Markov Random Fields / Luigi Augugliaro, Angelo M Mineo, Ernst C Wit -- Cluster Analysis of Social Networks Using R / Malika Charrad -- Inference and Analysis of Gene Regulatory Networks in R / Ricardo de M Simoes, Matthias Dehmer, Constantine Mitsiades, Frank Emmert-Streib -- Visualization of Biological Networks Using NetBioV / Shailesh Tripathi, Salissou Moutari, Matthias Dehmer, Frank Emmert-Streib.
  note: edited by Matthias Dehmer, Yongtang Shi, and Frank Emmert-Streib.
  note: Includes bibliographical references and index.
  subject:
    topic: Computational biology
  subject:
    topic: Systems biology
  subject:
    topic: R (Computer program language)
  subject:
    topic: Computational Biology
  subject:
    topic: Systems Biology
  classification: QH324.2 .C65 2016
  classification: 570.285
  related item:
    title info:
      title: Computational network analysis with R
    origin info:
      publisher: Weinheim, Germany : Wiley-VCH, [2016]
  related item:
    title info:
      title: Quantitative and network biology ; v. 7
  identifier: 9783527694365
  identifier: 3527694366
  identifier: 9783527694402
  identifier: 3527694404
  identifier: 9783527694372
  identifier: 3527694374
  identifier: 9783527694389
  identifier: 3527694382
  identifier: 9783527339587
  identifier: 3527339582
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: NhCcYBP
    record creation date: 160802
    record change date: 20260214211404.9
    record identifier: in00004675671
    language of cataloging:
      language term: eng