Applied graph-mining algorithms to study biomolecular interaction networks.

Bibliographic Details
Published in:BioMed Research International Vol. 2014; pp. 439476 - 439477
Main Authors: Shen, Ru, Guda, Chittibabu
Format: review Journal Article
Published: Wiley-Blackwell 2014
Online Access:View this record in EBSCOhost
fields @attributes:
  recordID: 1
pdfLink:
plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=103833758&site=ehost-live
header:
  @attributes:
    shortDbName: ccm
    uiTerm: 103833758
    longDbName: CINAHL Complete
    uiTag: AN
  controlInfo:
    bkinfo:
    dissinfo:
    jinfo:
      jid:
        23146133
        FT2T
      jtl: BioMed Research International
      issn: 23146133
      maglogo: N
    pubinfo:
      dt: 2014
      vid: 2014
      pid: 480
      pub: Wiley-Blackwell
      place: Malden, Massachusetts
    artinfo:
      ui:
        103833758
        103833758
        2012647368
        NLM24800226
        PMC3996886
        103833758
      ppf: 439476
      ppct: 1
      formats:
        fmt:
          @attributes:
            type: P
      tig:
        atl: Applied graph-mining algorithms to study biomolecular interaction networks.
      aug:
        au:
          Shen, Ru
          Guda, Chittibabu
        affil: Department of Computer Science, University at Albany, 1400 Washington Avenue, Albany, NY 12222, USA.
      sug:
        subj:
          Algorithms
          Data Mining Methods
          Models, Biological
          Molecular Probe Techniques Methods
          Neoplasms Metabolism
          Proteins Metabolism
          Signal Transduction
          Computer Simulation
          Computing Methodologies
      pubtype: Academic Journal
      doctype:
        review
        Journal Article
      ougenre: Article
      ab:
    language: English
    refInfo:
    holdings:
      @attributes:
        islocal: N