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: Data mining in biomedicine
  name:
    name part: Pardalos, P. M. (Panos M.)
    name part: 1954-
  name:
    name part: Boginski, Vladimir L.
  name:
    name part: Vazacopoulos, Alkis.
  type of resource: text
  genre: bibliography
  origin info:
    place:
      place term: nyu
    date issued: 2007
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: print
    extent: xvii, 579 pages : illustrations ; 25 cm.
  table of contents: Pattern-based discriminants in the logical analysis of data -- Exploring microarray data with correspondence analysis -- An ensemble method of discovering sample classes using gene expression profiling -- CpG island identification with higher order and variable order Markov models -- Data mining algorithms for virtual screening of bioactive compounds -- Sparse component analysis : a new tool for data mining -- Data mining via entropy and graph clustering -- Molecular biology and pooling design -- An optimization approach to identify the relationship between features and output of a multi-label classifier -- Classifying noisy and incomplete medical data by a differential latent semantic indexing approach -- Ontology search and text mining of MEDLINE database -- Logical analysis of computed tomography data to differentiate entities of idiopathic interstitial pneumonias -- Diagnosis of Alport syndrome by pattern recognition techniques -- Clinical analysis of the diagnostic classification of geriatric disorders
  table of contents: A hybrid knowledge based-clustering multi-class SVM approach for genes expression analysis -- Mathematical programming formulations for problems in genomics and proteomics -- Inferring the origin of the genetic code -- Deciphering the structures of genomic DNA sequences using recurrence time statistics -- Clustering proteomics data using Bayesian principal component analysis -- Bioinformatics for traumatic brain injury : proteomic data mining -- Computational methods for protein fold prediction : an ab-initio topological approach -- A topological characterization of protein structure -- Data mining in EEG : application to epileptic brain disorders -- Information flow in coupled nonlinear systems : application to the epoleptic human brain -- Reconstruction of epileptic brain dynamics using data mining techniques -- Automated seizure prediction algorithm and its statistical assessment : a report from ten patients -- Seizure predictability in an experimental model of epilepsy -- Network-based techniques in EEG data analysis and epileptic brain modeling
  note: edited by Panos M. Pardalos, Vladimir L. Boginski, Alkis Vazacopoulos.
  subject:
    topic: Medicine
    topic: Data processing
  subject:
    topic: Biology
    topic: Data processing
  subject:
    topic: Data mining
  subject:
    topic: Medical Informatics
  classification: R858 .D37 2007
  classification: 610.285
  classification: W 26.5 D232 2007
  related item:
    title info:
      title: Springer optimization and its applications
  related item:
    title info:
      title: Springer optimization and its applications ; v. 7
  identifier: 9780387693187 (hd. bd.)
  identifier: 0387693181 (hd. bd.)
  identifier: 2006938889
  record info:
    record content source: OHX
    record creation date: 061120
    record change date: 20191203131810.0
    record identifier: in00004505143