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Biomedical Data and Applications

  • Book
  • © 2009

Overview

Editors:
  1. Amandeep S. Sidhu

    1. WA Centre for Comparative Genomics, Murdoch University, Murdoch, Australia

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    You can also search for this editor in PubMed   Google Scholar

  2. Tharam S. Dillon

    1. Digital Ecosystems and Business Intelligence Institute, Curtin University of Technology, Park Bentley, Australia

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • Presents recent results connected to biomedical data and applications

Part of the book series: Studies in Computational Intelligence (SCI, volume 224)

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Table of contents (14 chapters)

  1. Front Matter

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  2. Current Trends in Biomedical Data and Applications

    1. Current Trends in Biomedical Data and Applications

      • Amandeep S. Sidhu, Matthew Bellgard, Tharam S. Dillon
      Pages 1-9

  3. Part I: Biomedical Data

    1. Front Matter

      Pages 11-11
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    2. Towards Bioinformatics Resourceomes

      • Nicola Cannata, Flavio Corradini, Emanuela Merelli, Francesca Piersigilli, Leonardo Vito
      Pages 13-36

    3. A Summary of Genomic Databases: Overview and Discussion

      • Erika De Francesco, Giuliana Di Santo, Luigi Palopoli, Simona E. Rombo
      Pages 37-54

    4. Protein Data Integration Problem

      • Amandeep S. Sidhu, Matthew Bellgard
      Pages 55-69

    5. Multimedia Medical Databases

      • Liana Stanescu, Dumitru Dan Burdescu, Marius Brezovan
      Pages 71-141

    6. Bio-medical Ontologies Maintenance and Change Management

      • Arash Shaban-Nejad, Volker Haarslev
      Pages 143-168

    7. Extraction of Constraints from Biological Data

      • Daniele Apiletti, Giulia Bruno, Elisa Ficarra, Elena Baralis
      Pages 169-186

    8. Classifying Patterns in Bioinformatics Databases by Using Alpha-Beta Associative Memories

      • Israel Román Godínez, Itzamá López-Yáñez, Cornelio Yáñez-Márquez
      Pages 187-210

    9. Mining Clinical, Immunological, and Genetic Data of Solid Organ Transplantation

      • Michele Berlingerio, Francesco Bonchi, Michele Curcio, Fosca Giannotti, Franco Turini
      Pages 211-236

    10. Substructure Analysis of Metabolic Pathways by Graph-Based Relational Learning

      • Chang hun You, Lawrence B. Holder, Diane J. Cook
      Pages 237-261

  4. Part II: Biomedical Applications

    1. Front Matter

      Pages 263-263
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    2. Design of an Online Physician-Mediated Personal Health Record System

      • Jake Y. Chen, Shailaja Taduri, Frank Lloyd
      Pages 265-279

    3. Completing the Total Wellbeing Puzzle Using a Multi-agent System

      • Maja Hadzic, Meifania Chen, Rick Brouwer
      Pages 281-293

    4. The Minimal Model of Glucose Disappearance in Type I Diabetes

      • Margarita Fernandez, Minaya Villasana, Dan Streja
      Pages 295-315

    5. Genetic Algorithm inAb Initio Protein Structure Prediction Using Low Resolution Model: A Review

      • Md. Tamjidul Hoque, Madhu Chetty, Abdul Sattar
      Pages 317-342

  5. Back Matter

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Keywords

About this book

Compared with data from general application domains, modern biological data has many unique characteristics. Biological data are often characterized as having large volumes, complex structures, high dimensionality, evolving biological concepts, and insufficient data modelling practices. Over the past several years, bioinformatics has become an all-encompassing term for everything relating to both computer science and biology. The goal of this book is to cover data and applications identifying new issues and directions for future research in biomedical domain. The book will become a useful guide learning state-of-the-art development in biomedical data management, data-intensive bioinformatics systems, and other miscellaneous biological database applications. The book addresses various topics in bioinformatics with varying degrees of balance between biomedical data models and their real-world applications.

Editors and Affiliations

  • WA Centre for Comparative Genomics, Murdoch University, Murdoch, Australia

    Amandeep S. Sidhu

  • Digital Ecosystems and Business Intelligence Institute, Curtin University of Technology, Park Bentley, Australia

    Tharam S. Dillon

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