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ORCIDEvoBIO 2011: Torino, Italy
- Clara Pizzuti, Marylyn D. Ritchie, Mario Giacobini
:
Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics - 9th European Conference, EvoBIO 2011, Torino, Italy, April 27-29, 2011. Proceedings. Lecture Notes in Computer Science 6623, Springer 2011, ISBN 978-3-642-20388-6
- Faisal Ibne Rezwan, Yi Sun, Neil Davey, Rod Adams, Alistair G. Rust, Mark Robinson:
Effect of Using Varying Negative Examples in Transcription Factor Binding Site Predictions. 1-12 - Antonella Farinaccio, Leonardo Vanneschi, Paolo Provero, Giancarlo Mauri, Mario Giacobini:
A New Evolutionary Gene Regulatory Network Reverse Engineering Tool. 13-24 - Saad Quader, Nathan Snyder, Kevin Su, Ericka Mochan, Chun-Hsi Huang:
ML-Consensus: A General Consensus Model for Variable-Length Transcription Factor Binding Sites. 25-36 - Jianlong Qi, Tom Michoel, Gregory Butler:
Applying Linear Models to Learn Regulation Programs in a Transcription Regulatory Module Network. 37-47 - Emily Rose Holzinger, Scott M. Dudek, Eric Torstenson, Marylyn D. Ritchie:
ATHENA Optimization: The Effect of Initial Parameter Settings across Different Genetic Models. 48-58 - Christian Darabos, Ferdinando Di Cunto, Marco Tomassini, Jason H. Moore, Paolo Provero, Mario Giacobini:
Validating a Threshold-Based Boolean Model of Regulatory Networks on a Biological Organism. 59-68 - Gualberto Asencio-Cortés, Jesús S. Aguilar-Ruiz, Alfonso E. Márquez Chamorro:
A Nearest Neighbour-Based Approach for Viral Protein Structure Prediction. 69-76 - Eva Sciacca, Salvatore Spinella, Dino Ienco, Paola Giannini:
Annotated Stochastic Context Free Grammars for Analysis and Synthesis of Proteins. 77-88 - David L. González-Álvarez, Miguel A. Vega-Rodríguez, Juan Antonio Gómez Pulido, Juan Manuel Sánchez-Pérez:
Finding Motifs in DNA Sequences Applying a Multiobjective Artificial Bee Colony (MOABC) Algorithm. 89-100 - Alfonso E. Márquez Chamorro, Federico Divina, Jesús S. Aguilar-Ruiz, Gualberto Asencio-Cortés:
An Evolutionary Approach for Protein Contact Map Prediction. 101-110 - Sami Laroum, Béatrice Duval, Dominique Tessier, Jin-Kao Hao:
Multi-Neighborhood Search for Discrimination of Signal Peptides and Transmembrane Segments. 111-122 - Georg Hinselmann, Andreas Jahn, Nikolas Fechner, Lars Rosenbaum, Andreas Zell:
Approximation of Graph Kernel Similarities for Chemical Graphs by Kernel Principal Component Analysis. 123-134
Posters
- Fabien Chhel, Adrien Goëffon, Frédéric Lardeux, Frédéric Saubion, Gilles Hunault, Tristan Boureau:
Experimental Approach for Bacterial Strains Characterization. 135-140 - Luca Ferreri, Ezio Venturino, Mario Giacobini:
Do Diseases Spreading on Bipartite Networks Have Some Evolutionary Advantage? 141-146 - Filip Leonarski, Fabio Trovato, Valentina Tozzini, Joanna Trylska:
Genetic Algorithm Optimization of Force Field Parameters: Application to a Coarse-Grained Model of RNA. 147-152 - Cosme Ernesto Santiesteban-Toca, Alfonso E. Márquez Chamorro, Gualberto Asencio-Cortés, Jesús S. Aguilar-Ruiz:
A Decision Tree-Based Method for Protein Contact Map Prediction. 153-158 - Sara Silva, Orlando Anunciação, Marco Lotz:
A Comparison of Machine Learning Methods for the Prediction of Breast Cancer. 159-170 - Paolo Atzeni, Fabio Polticelli, Daniele Toti:
An Automatic Identification and Resolution System for Protein-Related Abbreviations in Scientific Papers. 171-176 - Yunku Yeu, Jaegyoon Ahn, Youngmi Yoon, Sanghyun Park:
Protein Complex Discovery from Protein Interaction Network with High False-Positive Rate. 177-182
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