EvoBIO 2011:
Torino, Italy
Clara Pizzuti, Marylyn D. Ritchie, Mario Giacobini (Eds.):
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 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
Last update Wed May 22 23:30:36 2013
CET by the DBLP Team — 
Data released under the ODC-BY 1.0 license — See also our legal information page
