Book Volume 5 2004

Artificial Intelligence Methods And Tools For Systems Biology

Editors:

ISBN: 978-1-4020-2859-5 (Print) 978-1-4020-2865-6 (Online)

Table of contents (11 chapters)

  1. Front Matter

    Pages i-xvii

  2. No Access

    Chapter

    Pages 1-18

    Lazy Learning for Predictive Toxicology based on a Chemical Ontology

  3. No Access

    Chapter

    Pages 19-35

    QSAR Modeling of Mutagenicity on Non-Congeneric Sets of Organic Compounds

  4. No Access

    Chapter

    Pages 37-50

    Characterizing Gene Expression Time Series using a Hidden Markov Model

  5. No Access

    Chapter

    Pages 51-66

    Analysis of Large-Scale mRNA Expression Data Sets by Genetic Algorithms

  6. No Access

    Chapter

    Pages 67-85

    A Data-Driven, Flexible Machine Learning Strategy for the Classification of Biomedical Data

  7. No Access

    Chapter

    Pages 87-106

    Cooperative Metaheuristics for Exploring Proteomic Data

  8. No Access

    Chapter

    Pages 107-127

    Integrating Gene Expression Data, Protein Interaction Data, and Ontology-Based Literature Searches

  9. No Access

    Chapter

    Pages 129-145

    Ontologies in Bioinformatics and Systems Biology

  10. No Access

    Chapter

    Pages 147-173

    Natural Language Processing and Systems Biology

  11. No Access

    Chapter

    Pages 175-195

    Systems Level Modeling of Gene Regulatory Networks

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    Chapter

    Pages 197-215

    Computational Neuroscience for Cognitive Brain Functions

  13. Back Matter

    Pages 217-221