Abstract is missing.
- Identifying Regulatory Sites Using Neighborhood SpeciesClaudia Angelini, Luisa Cutillo, Italia de Feis, Richard C. van der Wath, Pietro Liò. 1-10 [doi]
- Genetic Programming and Other Machine Learning Approaches to Predict Median Oral Lethal Dose (LD::50::) and Plasma Protein Binding Levels ( PPB) of DrugsFrancesco Archetti, Stefano Lanzeni, Enza Messina, Leonardo Vanneschi. 11-23 [doi]
- Hypothesis Testing with Classifier Systems for Rule-Based Risk PredictionFlavio Baronti, Antonina Starita. 24-34 [doi]
- Robust Peak Detection and Alignment of nanoLC-FT Mass Spectrometry DataMarius C. Codrea, Connie R. Jimenez, Sander Piersma, Jaap Heringa, Elena Marchiori. 35-46 [doi]
- One-Versus-One and One-Versus-All Multiclass SVM-RFE for Gene Selection in Cancer ClassificationKaibo Duan, Jagath C. Rajapakse, Minh Ngoc Nguyen 0002. 47-56 [doi]
- Understanding Signal Sequences with Machine LearningJean-Luc Falcone, Renée Kreuter, Dominique Belin, Bastien Chopard. 57-67 [doi]
- Targeting Differentially Co-regulated Genes by Multiobjective and Multimodal OptimizationOscar Harari, Cristina Rubio-Escudero, Igor Zwir. 68-77 [doi]
- Modeling Genetic Networks: Comparison of Static and Dynamic ModelsCristina Rubio-Escudero, Oscar Harari, Oscar Cordón, Igor Zwir. 78-89 [doi]
- A Genetic Embedded Approach for Gene Selection and Classification of Microarray DataJose Crispin Hernandez Hernandez, Béatrice Duval, Jin-Kao Hao. 90-101 [doi]
- Modeling the Shoot Apical Meristem in ::::A. thaliana:::: : Parameter Estimation for Spatial Pattern FormationTim Hohm, Eckart Zitzler. 102-113 [doi]
- Evolutionary Search for Improved Path DiagramsKim Laurio, Thomas Svensson, Mats Jirstrand, Patric Nilsson, Jonas Gamalielsson, Björn Olsson. 114-121 [doi]
- Simplifying Amino Acid Alphabets Using a Genetic Algorithm and Sequence AlignmentJacek Lenckowski, Krzysztof Walczak 0002. 122-131 [doi]
- Towards Evolutionary Network Reconstruction Tools for Systems BiologyThorsten Lenser, Thomas Hinze, Bashar Ibrahim, Peter Dittrich. 132-142 [doi]
- A Gaussian Evolutionary Method for Predicting Protein-Protein Interaction SitesKang-Ping Liu, Jinn-Moon Yang. 143-154 [doi]
- Bio-mimetic Evolutionary Reverse Engineering of Genetic Regulatory NetworksDaniel Marbach, Claudio Mattiussi, Dario Floreano. 155-165 [doi]
- Tuning ReliefF for Genome-Wide Genetic AnalysisJason H. Moore, Bill C. White. 166-175 [doi]
- Dinucleotide Step Parameterization of Pre-miRNAs Using Multi-objective Evolutionary AlgorithmsJin-Wu Nam, In-Hee Lee, Kyu Baek Hwang, Seong-Bae Park, Byoung-Tak Zhang. 176-186 [doi]
- Amino Acid Features for Prediction of Protein-Protein Interface Residues with Support Vector MachinesMinh Ngoc Nguyen 0002, Jagath C. Rajapakse, Kaibo Duan. 187-196 [doi]
- Predicting HIV Protease-Cleavable Peptides by Discrete Support Vector MachinesCarlotta Orsenigo, Carlo Vercellis. 197-206 [doi]
- Inverse Protein Folding on 2D Off-Lattice Model: Initial Results and PerspectivesDavid A. Pelta, Alberto Carrascal. 207-216 [doi]
- Virtual Error: A New Measure for Evolutionary BiclusteringBeatriz Pontes, Federico Divina, Raúl Giráldez, Jesús S. Aguilar-Ruiz. 217-226 [doi]
- Characterising DNA/RNA Signals with Crisp Hypermotifs: A Case Study on Core PromotersCarey Pridgeon, David Corne. 227-235 [doi]
- Evaluating Evolutionary Algorithms and Differential Evolution for the Online Optimization of Fermentation ProcessesMiguel Rocha, José P. Pinto, Isabel Rocha, Eugénio C. Ferreira. 236-246 [doi]
- The Role of a Priori Information in the Minimization of Contact Potentials by Means of Estimation of Distribution AlgorithmsRoberto Santana, Pedro Larrañaga, José Antonio Lozano. 247-257 [doi]
- Classification of Cell Fates with Support Vector Machine LearningOfer M. Shir, Vered Raz, Roeland W. Dirks, Thomas Bäck. 258-269 [doi]
- Reconstructing Linear Gene Regulatory NetworksJochen Supper, Christian Spieth, Andreas Zell. 270-279 [doi]
- Individual-Based Modeling of Bacterial Foraging with Quorum Sensing in a Time-Varying EnvironmentW. J. Tang, Q. H. Wu, J. R. Saunders. 280-290 [doi]
- Substitution Matrix Optimisation for Peptide ClassificationDavid C. Trudgian, Zheng Rong Yang. 291-300 [doi]