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: Application of Computational Intelligence to Biology
  name:
    name part: Bhramaramba, Ravi.
    role:
      role term: editor.
  name:
    name part: Sekhar, Akula Chandra.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: si
    date issued: 2016
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: IX, 102 p. 60 illus., 42 illus. in color. online resource.
  abstract: This book is a contribution of translational and allied research to the proceedings of the International Conference on Computational Intelligence and Soft Computing. It explains how various computational intelligence techniques can be applied to investigate various biological problems. It is a good read for Research Scholars, Engineers, Medical Doctors and Bioinformatics researchers.
  table of contents: Enhancing the performance of Multi-parameter Patient Monitors by Homogeneous Kernel Maps -- Augmenting the performance of Multi-patient Parameter Monitoring system -- An Efficient Classification Model based on Ensemble of Fuzzy-Rough Classifier for Analysis of Medical Data -- A Comparative Study of Various Minutiae Extraction Methods for Fingerprint Recognition Based on Score Level Fusion -- Hybrid Model for Analysis of Abnormalities in Diabetic Cardiomyopathy -- Computational Screening of DrugBank DataBase for Novel Cell Cycle Inhibitors -- Pathway analysis of highly conserved Mitogen Activated Protein Kinases (MAPKs) -- Identification of drug targets from integrated database of diabetes mellitus Genes using Protein-Protein Interactions -- Distributed Data Mining for modeling and prediction of skin condiction in Cosmetic Industry - A Rough Set Theory Approach.
  note: edited by Ravi Bhramaramba, Akula Chandra Sekhar.
  subject:
    topic: Engineering
  subject:
    topic: Health informatics
  subject:
    topic: Diabetes
  subject:
    topic: Bioinformatics
  subject:
    topic: Proteins
  subject:
    topic: Computational intelligence
  subject:
    topic: Biomedical engineering
  subject:
    topic: Engineering
  subject:
    topic: Computational Intelligence
  subject:
    topic: Computational Biology/Bioinformatics
  subject:
    topic: Diabetes
  subject:
    topic: Protein Structure
  subject:
    topic: Biomedical Engineering
  subject:
    topic: Health Informatics
  classification: Q342
  classification: 006.3
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: SpringerBriefs in Applied Sciences and Technology
  identifier: 9789811003912
  identifier: http://dx.doi.org/10.1007/978-981-10-0391-2
  record info:
    record creation date: 160506
    record change date: 20160506152203.0
    record identifier: 978-981-10-0391-2