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ORCIDArtificial Intelligence Methods And Tools For Systems Biology 2004
- Werner Dubitzky, Francisco Azuaje:
Artificial Intelligence Methods And Tools For Systems Biology. Computational Biology 5, Springer 2004, ISBN 978-1-4020-2859-5 - Eva Armengol, Enric Plaza:
Lazy Learning for Predictive Toxicology based on a Chemical Ontology. 1-18 - Uko Maran, Sulev Sild:
QSAR Modeling of Mutagenicity on Non-Congeneric Sets of Organic Compounds. 19-35 - Sally I. McClean, Bryan W. Scotney, Steve Robinson:
Characterizing Gene Expression Time Series using a Hidden Markov Model. 37-50 - Chia Huey Ooi
, Patrick Tan:
Analysis of Large-Scale mRNA Expression Data Sets by Genetic Algorithms. 51-66 - Raymund L. Somorjai, Murray E. Alexander, Richard Baumgartner, Stephanie Booth, Christopher Bowman, Aleksander B. Demko, Brion Dolenko, Marina Mandelzweig, Aleksander E. Nikulin, Nicolino J. Pizzi, Erinija Pranckeviciene, Arthur R. Summers, Peter Zhilkin:
A Data-Driven, Flexible Machine Learning Strategy for the Classification of Biomedical Data. 67-85 - Robin Gras, David Hernández, Patricia Hernandez, Nadine Zangger, Yoan Mescam, Julien Frey, Olivier Martin, Jacques Nicolas, Ron D. Appel:
Cooperative Metaheuristics for Exploring Proteomic Data. 87-106 - Panos Dafas, Alexander Kozlenkov, Alan Robinson, Michael Schroeder:
Integrating Gene Expression Data, Protein Interaction Data, and Ontology-Based Literature Searches. 107-127 - Patrick Lambrix:
Ontologies in Bioinformatics and Systems Biology. 129-145 - K. Bretonnel Cohen, Lawrence Hunter:
Natural Language Processing and Systems Biology. 147-173 - Martin Stetter, Bernd Schürmann, Mathäus Dejori:
Systems Level Modeling of Gene Regulatory Networks. 175-195 - Marco Loh, Miruna Szabo, Rita Almeida, Martin Stetter, Gustavo Deco:
Computational Neuroscience for Cognitive Brain Functions. 197-215
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