EvoBIO 2008: Naples, Italy

• Amin Assareh, Mohammad Hassan Moradi, L. Gwenn Volkert:
  A Hybrid Random Subspace Classifier Fusion Approach for Protein Mass Spectra Classification. 1-11
  
• Mohammad Ehsan Basiri, Nasser Ghasem-Aghaee, Mehdi Hosseinzadeh Aghdam:
  Using Ant Colony Optimization-Based Selected Features for Predicting Post-synaptic Activity in Proteins. 12-23
  
• Todd L. Edwards, William S. Bush, Stephen D. Turner, Scott M. Dudek, Eric S. Torstenson, Mike Schmidt, Eden Martin, Marylyn D. Ritchie:
  Generating Linkage Disequilibrium Patterns in Data Simulations Using genomeSIMLA. 24-35
  
• Timur Fayruzov, Martine De Cock, Chris Cornelis, Véronique Hoste:
  DEEPER: A Full Parsing Based Approach to Protein Relation Extraction. 36-47
  
• Nicholas Holden, Alex Alves Freitas:
  Improving the Performance of Hierarchical Classification with Swarm Intelligence. 48-60
  
• Mudassar Iqbal, Alex Alves Freitas, Colin G. Johnson:
  Protein Interaction Inference Using Particle Swarm Optimization Algorithm. 61-70
  
• Pavol Jancura, Jaap Heringa, Elena Marchiori:
  Divide, Align and Full-Search for Discovering Conserved Protein Complexes. 71-82
  
• Zhenyu Jia, Sha Tang, Dan Mercola, Shizhong Xu:
  Detection of Quantitative Trait Associated Genes Using Cluster Analysis. 83-94
  
• Jakub Koperwas, Krzysztof Walczak:
  Frequent Subsplit Representation of Leaf-Labelled Trees. 95-105
  
• Zdena Koukolíková-Nicola, Pietro Liò, Franco Bagnoli:
  Inference on Missing Values in Genetic Networks Using High-Throughput Data. 106-116
  
• Patrick C. H. Ma, Keith C. C. Chan:
  Mining Gene Expression Patterns for the Discovery of Overlapping Clusters. 117-128
  
• Jason H. Moore, Peter C. Andrews, Nate Barney, Bill C. White:
  Development and Evaluation of an Open-Ended Computational Evolution System for the Genetic Analysis of Susceptibility to Common Human Diseases. 129-140
  
• Carlotta Orsenigo:
  Gene Selection and Cancer Microarray Data Classification Via Mixed-Integer Optimization. 141-152
  
• Srinivas Pasupuleti:
  Detection of Protein Complexes in Protein Interaction Networks Using n-Clubs. 153-164
  
• Jose M. Peña:
  Learning Gaussian Graphical Models of Gene Networks with False Discovery Rate Control. 165-176
  
• Hendrik Rohn, Bashar Ibrahim, Thorsten Lenser, Thomas Hinze, Peter Dittrich:
  Enhancing Parameter Estimation of Biochemical Networks by Exponentially Scaled Search Steps. 177-187
  
• Axel J. Soto, Rocío L. Cecchini, Gustavo E. Vazquez, Ignacio Ponzoni:
  A Wrapper-Based Feature Selection Method for ADMET Prediction Using Evolutionary Computing. 188-199
  
• Alessandro Vullo, Andrea Passerini, Paolo Frasconi, Fabrizio Costa, Gianluca Pollastri:
  On the Convergence of Protein Structure and Dynamics. Statistical Learning Studies of Pseudo Folding Pathways. 200-211