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: Fuzzy Systems in Bioinformatics and Computational Biology
  name:
    name part: Jin, Yaochu.
    role:
      role term: editor.
  name:
    name part: Wang, Lipo.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2009
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XVI, 332 p. 118 illus., 11 illus. in color. online resource.
  abstract: Biological systems are inherently stochastic and uncertain. Thus, research in bioinformatics, biomedical engineering and computational biology has to deal with a large amount of uncertainties. Fuzzy logic has shown to be a powerful tool in capturing different uncertainties in engineering systems. In recent years, fuzzy logic based modeling and analysis approaches are also becoming popular in analyzing biological data and modeling biological systems. Numerous research and application results have been reported that demonstrated the effectiveness of fuzzy logic in solving a wide range of biological problems found in bioinformatics, biomedical engineering, and computational biology. Contributed by leading experts world-wide, this edited book contains 16 chapters presenting representative research results on the application of fuzzy systems to genome sequence assembly, gene expression analysis, promoter analysis, cis-regulation logic analysis and synthesis, reconstruction of genetic and cellular networks, as well as biomedical problems, such as medical image processing, electrocardiogram data classification and anesthesia monitoring and control. This volume is a valuable reference for researchers, practitioners, as well as graduate students working in the field of bioinformstics, biomedical engineering and computational biology.
  table of contents: Induction of Fuzzy Rules by Means of Artificial Immune Systems in Bioinformatics -- Fuzzy Genome Sequence Assembly for Single and Environmental Genomes -- A Hybrid Promoter Analysis Methodology for Prokaryotic Genomes -- Fuzzy Vector Filters for cDNA Microarray Image Processing -- Microarray Data Analysis Using Fuzzy Clustering Algorithms -- Fuzzy Patterns and GCS Networks to Clustering Gene Expression Data -- Gene Expression Analysis by Fuzzy and Hybrid Fuzzy Classification -- Detecting Gene Regulatory Networks from Microarray Data Using Fuzzy Logic -- Fuzzy System Methods in Modeling Gene Expression and Analyzing Protein Networks -- Evolving a Fuzzy Rulebase to Model Gene Expression -- Infer Genetic/Transcriptional Regulatory Networks by Recognition of Microarray Gene Expression Patterns Using Adaptive Neuro-Fuzzy Inference Systems -- Scalable Dynamic Fuzzy Biomolecular Network Models for Large Scale Biology -- Fuzzy C-Means Techniques for Medical Image Segmentation -- Monitoring and Control of Anesthesia Using Multivariable Self-Organizing Fuzzy Logic Structure -- Interval Type-2 Fuzzy System for ECG Arrhythmic Classification -- Fuzzy Logic in Evolving in silico Oscillatory Dynamics for Gene Regulatory Networks.
  note: edited by Yaochu Jin, Lipo Wang.
  subject:
    topic: Computer science
  subject:
    topic: Artificial intelligence
  subject:
    topic: Computer-aided engineering
  subject:
    topic: Applied mathematics
  subject:
    topic: Engineering mathematics
  subject:
    topic: Computer Science
  subject:
    topic: Computer-Aided Engineering (CAD, CAE) and Design
  subject:
    topic: Appl.Mathematics/Computational Methods of Engineering
  subject:
    topic: Artificial Intelligence (incl. Robotics)
  classification: TA345-345.5
  classification: 620.00420285
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Studies in Fuzziness and Soft Computing, 242
  identifier: 9783540899686
  identifier: http://dx.doi.org/10.1007/978-3-540-89968-6
  record info:
    record creation date: 100301
    record change date: 20151204171922.0
    record identifier: 978-3-540-89968-6