EvoBIO 2012: Málaga, Spain
Mario Giacobini, Leonardo Vanneschi, William S. Bush (Eds.): Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics - 10th European Conference, EvoBIO 2012, Málaga, Spain, April 11-13, 2012. Proceedings. Springer 2012 Lecture Notes in Computer Science ISBN 978-3-642-29065-7
Oral Contributions
Timmy Manning, Paul Walsh: Automatic Task Decomposition for the NeuroEvolution of Augmenting Topologies (NEAT) Algorithm. 1-12
Lars Rosenbaum, Andreas Jahn, Andreas Zell: Optimizing the Edge Weights in Optimal Assignment Methods for Virtual Screening with Particle Swarm Optimization. 26-37
Christian Darabos, Mario Giacobini, Ting Hu, Jason H. Moore: Lévy-Flight Genetic Programming: Towards a New Mutation Paradigm. 38-49
Simone Marini, Alessandra Conversi: Understanding Zooplankton Long Term Variability through Genetic Programming. 50-61
Holger Franken, Alexander Seitz, Rainer Lehmann, Hans-Ulrich Häring, Norbert Stefan, Andreas Zell: Inferring Disease-Related Metabolite Dependencies with a Bayesian Optimization Algorithm. 62-73
Marco S. Nobile, Daniela Besozzi, Paolo Cazzaniga, Giancarlo Mauri, Dario Pescini: A GPU-Based Multi-swarm PSO Method for Parameter Estimation in Stochastic Biological Systems Exploiting Discrete-Time Target Series. 74-85
Flávio L. Pinheiro, Francisco C. Santos, Jorge M. Pacheco: Tracking the Evolution of Cooperation in Complex Networked Populations. 86-96
Leonardo Vanneschi, Matteo Mondini, Martino Bertoni, Alberto Ronchi, Mattia Stefano: GeNet: A Graph-Based Genetic Programming Framework for the Reverse Engineering of Gene Regulatory Networks. 97-109
David L. González-Álvarez, Miguel A. Vega-Rodríguez, Juan Antonio Gómez Pulido, Juan Manuel Sánchez-Pérez: Comparing Multiobjective Artificial Bee Colony Adaptations for Discovering DNA Motifs. 110-121
Qinxin Pan, Christian Darabos, Jason H. Moore: The Role of Mutations in Whole Genome Duplication. 122-133
Emily Rose Holzinger, Scott M. Dudek, Alex T. Frase, Brooke L. Fridley, Prabhakar Chalise, Marylyn D. Ritchie: Comparison of Methods for Meta-dimensional Data Analysis Using in Silico and Biological Data Sets. 134-143
Sergio Santander-Jiménez, Miguel A. Vega-Rodríguez, Juan Antonio Gómez Pulido, Juan Manuel Sánchez-Pérez: Inferring Phylogenetic Trees Using a Multiobjective Artificial Bee Colony Algorithm. 144-155
Gualberto Asencio Cortés, Jesús S. Aguilar-Ruiz, Alfonso E. Márquez Chamorro, Roberto Ruiz, Cosme Ernesto Santiesteban Toca: Prediction of Mitochondrial Matrix Protein Structures Based on Feature Selection and Fragment Assembly. 156-167
Poster Contributions
Kesav Kancherla, Srinivas Mukkamala: Feature Selection for Lung Cancer Detection Using SVM Based Recursive Feature Elimination Method. 168-176
Alexander V. Spirov, Nina Golyandina, David M. Holloway, Theodore Alexandrov, Ekaterina N. Spirova, Francisco J. P. Lopes: Measuring Gene Expression Noise in Early Drosophila Embryos: The Highly Dynamic Compartmentalized Micro-environment of the Blastoderm Is One of the Main Sources of Noise. 177-188
Delaney Granizo-MacKenzie, Jason H. Moore: Artificial Immune Systems Perform Valuable Work When Detecting Epistasis in Human Genetic Datasets. 189-200
Carrie C. Buchanan, John R. Wallace, Alex T. Frase, Eric Torstenson, Sarah A. Pendergrass, Marylyn D. Ritchie: A Biologically Informed Method for Detecting Associations with Rare Variants. 201-210
Clara Pizzuti, Simona E. Rombo, Elena Marchiori: Complex Detection in Protein-Protein Interaction Networks: A Compact Overview for Researchers and Practitioners. 211-223
Cosme Ernesto Santiesteban Toca, Gualberto Asencio Cortés, Alfonso E. Márquez Chamorro, Jesús S. Aguilar-Ruiz: Short-Range Interactions and Decision Tree-Based Protein Contact Map Predictor. 224-233
Alfonso E. Márquez Chamorro, Federico Divina, Jesús S. Aguilar-Ruiz, Jaume Bacardit, Gualberto Asencio Cortés, Cosme Ernesto Santiesteban Toca: A NSGA-II Algorithm for the Residue-Residue Contact Prediction. 234-244
Abstract Contributions

Francesco Cerutti, Luigi Bertolotti, Tony L. Goldberg, Mario Giacobini: Improving Phylogenetic Tree Interpretability by Means of Evolutionary Algorithms. 250-253



