Artificial intelligence methods and tools for systems biology / edited by Werner Dubitzky and Francisco Azuaje. — Dordrecht : Springer, c2004.—(58.105/A791)

Contents

            Contents
    
Lazy Learning for Predictive Toxicology based on a Chemical Ontology
Eva Armengol and Enric Plaza 1
QSAR Modeling of Mutagenicity on Non-Congeneric Sets of Organic Compounds
Uko Maran and Sulev Sild 19
Characterizing Gene Expression Time Series using a Hidden Markov Model
Sally McClean， Bryan Scotney and Steve Robinson 37
Analysis of Large-Scale mRNA Expression Data Sets by Genetic Algorithms
Chia Huey Ooi and Patrick Tan 51
A Data-Driven， Flexible Machine Learning Strategy for the Classification of Biomedical Data
Rajmund L. Somorjai， Murray E. Alexander， Richard Baumgartner， Stephanie Booth， Christopher Bowman， Aleksander Demko， Brion Dolenko， Marina Mandelzweig， Aleksander E. Nikulin， Nicolino J. Pizzi， Erinija Pranckevieiene， Arthur R. Summers and Peter Zhilkin 67
Cooperative Metaheuristics for Exploring Proteomic Data
Robin Gras， David Hernandez， Patricia Hernandez， Nadine Zangger， Yoan Mescam， Julien Frey Olivier Martin， Jacques Nicolas and Ron D. Appel 87
Integrating Gene Expression Data， Protein Interaction Data， and Ontology-Based Literature Searches
Panos Dafas， Alexander Kozlenkov， Alan Robinson and Michael Schroeder 107
Ontologies in Bioinformatics and Systems Biology
Patrick Lambrix 129
Natural Language Processing and Systems Biology
K. Bretonnel Cohen and Lawrence Hunter 147
Systems Level Modeling of Gene Regulatory Networks
Martin Stetter， Bernd Schurmann and Mathaus Dejori 175
Computational Neuroscience for Cognitive Brain Functions
Marco Loh， Miruna Szabo， Rita Almeida， Martin Stetter and Gustavo Deco 197
Index 217