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: Pattern Recognition in Bioinformatics
    sub title: Second IAPR International Workshop, PRIB 2007, Singapore, October 1-2, 2007. Proceedings
  name:
    name part: Rajapakse, Jagath C.
    role:
      role term: editor.
  name:
    name part: Schmidt, Bertil.
    role:
      role term: editor.
  name:
    name part: Volkert, Gwenn.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2007
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XVIII, 410 p. online resource.
  abstract: The advancements of computational and informational techniques have enabled in silico testing of many lab-based experiments in life sciences before performing them in in vitro or in vivo. Though computational techniques are not capable of mimicking all wet-lab experiments, bioinformatics will inevitably play a major role in future medical practice. For example, in the pursuit of new drugs it can reduce the costs and complexity involved in expensive wet-lab experiments. It is expected that by 2010, sequencing of individual genomes will be affordable generating an unprecedented increase of life sciences data, in the form of sequences, expressions, networks, images, literature. Pattern recognition techniques lie at the heart of discovery of new insights into biological knowledge, as the presence of particular patterns or structure is often an indication of its function. The aim of the workshop series Pattern Recognition in Bioinformatics (PRIB) is to bring pattern recognition scientists and life scientists together to promote pattern recognition applications to solve life sciences problems. This volume presents the proceedings of the 2nd IAPR Workshop PRIB 2007 held in Singapore, October 1–2, 2007. It includes 38 technical contributions that were selected by the International Program Committee from 125 submissions. Each of these rigorously reviewed papers was presented orally at the workshop. The proceedings consists of six parts. Part 1: Sequence Analysis; Part 2: Prediction of Protein Structure, Interaction, and Localization; Part 3: Gene Expression Analysis; Part 4: Pathway Analysis; Part 5: Medical Informatics; and Part 6: Bioimaging.
  table of contents: Sequence Analysis -- Automated Methods of Predicting the Function of Biological Sequences Using GO and Rough Set -- C-Based Design Methodology for FPGA Implementation of ClustalW MSA -- A Two-Phase ANN Method for Genome-Wide Detection of Hormone Response Elements -- An Expert Knowledge-Guided Mutation Operator for Genome-Wide Genetic Analysis Using Genetic Programming -- cDNA-Derived Amino Acid Sequence from Rat Brain A2aR Possesses Conserved Motifs PMNYM of TM 5 Domain, Which May Be Involved in Dimerization of A2aR -- Strong GC and AT Skew Correlation in Chicken Genome -- Comparative Analysis of a Hierarchical Bayesian Method for Quantitative Trait Loci Analysis for the Arabidopsis Thaliana -- Prediction of Protein Structure, Interaction and Localization -- Using Decision Templates to Predict Subcellular Localization of Protein -- Generalized Schemata Theorem Incorporating Twin Removal for Protein Structure Prediction -- Using Fuzzy Support Vector Machine Network to Predict Low Homology Protein Structural Classes -- SVM-BetaPred: Prediction of Right-Handed ß-Helix Fold from Protein Sequence Using SVM -- Protein Fold Recognition Based Upon the Amino Acid Occurrence -- Using Efficient RBF Network to Identify Interface Residues Based on PSSM Profiles and Biochemical Properties -- Dynamic Outlier Exclusion Training Algorithm for Sequence Based Predictions in Proteins Using Neural Network -- Bioinformatics on ?-Barrel Membrane Proteins: Sequence and Structural Analysis, Discrimination and Prediction -- Estimation of Evolutionary Average Hydrophobicity Profile from a Family of Protein Sequences -- Gene Expression Analysis -- APMA Database for Affymetrix Target Sequences Mapping, Quality Assessment and Expression Data Mining -- Ensemble of Dissimilarity Based Classifiers for Cancerous Samples Classification -- Gene Expression Analysis of Leukemia Samples Using Visual Interpretation of Small Ensembles: A Case Study -- Ant-MST: An Ant-Based Minimum Spanning Tree for Gene Ex…
  note: edited by Jagath C. Rajapakse, Bertil Schmidt, Gwenn Volkert.
  subject:
    topic: Life sciences
  subject:
    topic: Mathematical statistics
  subject:
    topic: Database management
  subject:
    topic: Data mining
  subject:
    topic: Artificial intelligence
  subject:
    topic: Bioinformatics
  subject:
    topic: Biochemistry
  subject:
    topic: Life Sciences
  subject:
    topic: Biochemistry, general
  subject:
    topic: Database Management
  subject:
    topic: Artificial Intelligence (incl. Robotics)
  subject:
    topic: Data Mining and Knowledge Discovery
  subject:
    topic: Computational Biology/Bioinformatics
  subject:
    topic: Probability and Statistics in Computer Science
  classification: QH345
  classification: QD415-436
  classification: 572
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Lecture Notes in Computer Science, 4774
  identifier: 9783540752868
  identifier: http://dx.doi.org/10.1007/978-3-540-75286-8
  record info:
    record creation date: 100301
    record change date: 20151204184659.0
    record identifier: 978-3-540-75286-8