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: Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics
    sub title: 11th European Conference, EvoBIO 2013, Vienna, Austria, April 3-5, 2013. Proceedings
  name:
    name part: Vanneschi, Leonardo.
    role:
      role term: editor.
  name:
    name part: Bush, William S.
    role:
      role term: editor.
  name:
    name part: Giacobini, Mario.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2013
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XII, 217 p. 64 illus. online resource.
  abstract: This book constitutes the refereed proceedings of the 11th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, EvoBIO 2013, held in Vienna, Austria, in April 2013, colocated with the Evo* 2013 events EuroGP, EvoCOP, EvoMUSART and EvoApplications. The 10 revised full papers presented together with 9 poster papers were carefully reviewed and selected from numerous submissions. The papers cover a wide range of topics in the field of biological data analysis and computational biology. They address important problems in biology, from the molecular and genomic dimension to the individual and population level, often drawing inspiration from biological systems in oder to produce solutions to biological problems.
  table of contents: Multiple Threshold Spatially Uniform ReliefF for the Genetic Analysis of Complex Human Diseases -- Time-Point Specific Weighting Improves Coexpression Networks from Time-Course Experiments -- Inferring Human Phenotype Networks from Genome-Wide Genetic -- Knowledge-Constrained K-Medoids Clustering of Regulatory Rare Alleles for Burden Tests -- Feature Selection and Classification of High Dimensional Mass Spectrometry Data: A Genetic Programming Approach -- Structured Populations and the Maintenance of Sex -- Hybrid Multiobjective Artificial Bee Colony with Differential Evolution Applied to Motif Finding -- ACO-Based Bayesian Network Ensembles for the Hierarchical Classification of Ageing-Related Proteins -- Dimensionality Reduction via Isomap with Lock-Step and Elastic Measures for Time Series Gene Expression Classification -- Supervising Random Forest Using Attribute Interaction Networks -- Hybrid Genetic Algorithms for Stress Recognition in Optimal Use of Biological Expert Knowledge from Literature -- Mining in Ant Colony Optimization for Analysis of Epistasis in Human Disease -- A Multiobjective Proposal Based on the Firefly Algorithm for Inferring Phylogenies -- Mining for Variability in the Coagulation Pathway: A Systems Biology Approach -- Improving the Performance of CGPANN for Breast Cancer Diagnosis Using Crossover and Radial Basis Functions -- An Evolutionary Approach to Wetlands Design -- Impact of Different Recombination Methods in a Mutation-Specific MOEA for a Biochemical Application -- Cell–Based Metrics Improve the Detection of Gene-Gene Interactions Using Multifactor Dimensionality Reduction -- Emergence of Motifs in Model Gene Regulatory Networks.
  note: edited by Leonardo Vanneschi, William S. Bush, Mario Giacobini.
  subject:
    topic: Computer science
  subject:
    topic: Computers
  subject:
    topic: Algorithms
  subject:
    topic: Data mining
  subject:
    topic: Bioinformatics
  subject:
    topic: Computer Science
  subject:
    topic: Computational Biology/Bioinformatics
  subject:
    topic: Data Mining and Knowledge Discovery
  subject:
    topic: Algorithm Analysis and Problem Complexity
  subject:
    topic: Computation by Abstract Devices
  classification: QH324.2-324.25
  classification: 570.285
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Lecture Notes in Computer Science, 7833
  identifier: 9783642371899
  identifier: http://dx.doi.org/10.1007/978-3-642-37189-9
  record info:
    record creation date: 130228
    record change date: 20151030021209.0
    record identifier: 978-3-642-37189-9