EvoBIO 2009: Tübingen, Germany

• Zhenyu Jia, Yipeng Wang, Kai Ye, Qilan Li, Sha Tang, Shizhong Xu, Dan Mercola:
  Association Study between Gene Expression and Multiple Relevant Phenotypes with Cluster Analysis. 1-12
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• Kevin Kontos, Bruno André, Jacques van Helden, Gianluca Bontempi:
  Gaussian Graphical Models to Infer Putative Genes Involved in Nitrogen Catabolite Repression in S. cerevisiae. 13-24
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• Georg Hinselmann, Andreas Jahn, Nikolas Fechner, Andreas Zell:
  Chronic Rat Toxicity Prediction of Chemical Compounds Using Kernel Machines. 25-36
  Electronic Edition (link) BibTeX
• Glennie Helles:
  Simulating Evolution of Drosophila Melanogaster Ebony Mutants Using a Genetic Algorithm. 37-43
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• Cristian Andrés Gallo, Jessica Andrea Carballido, Ignacio Ponzoni:
  Microarray Biclustering: A Novel Memetic Approach Based on the PISA Platform. 44-55
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• Piyushkumar A. Mundra, Jagath C. Rajapakse:
  F-score with Pareto Front Analysis for Multiclass Gene Selection. 56-67
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• Fernando E. B. Otero, Alex Alves Freitas, Colin G. Johnson:
  A Hierarchical Classification Ant Colony Algorithm for Predicting Gene Ontology Terms. 68-79
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• Stephen D. Turner, Marylyn D. Ritchie, William S. Bush:
  Conquering the Needle-in-a-Haystack: How Correlated Input Variables Beneficially Alter the Fitness Landscape for Neural Networks. 80-91
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• Casey S. Greene, Jason M. Gilmore, Jeff Kiralis, Peter C. Andrews, Jason H. Moore:
  Optimal Use of Expert Knowledge in Ant Colony Optimization for the Analysis of Epistasis in Human Disease. 92-103
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• Jorge Tavares, Salma Mesmoudi, El-Ghazali Talbi:
  On the Efficiency of Local Search Methods for the Molecular Docking Problem. 104-115
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• Daniela Besozzi, Paolo Cazzaniga, Giancarlo Mauri, Dario Pescini, Leonardo Vanneschi:
  A Comparison of Genetic Algorithms and Particle Swarm Optimization for Parameter Estimation in Stochastic Biochemical Systems. 116-127
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• Ajay Kumar Tanwani, Jamal Afridi, M. Zubair Shafiq, Muddassar Farooq:
  Guidelines to Select Machine Learning Scheme for Classification of Biomedical Datasets. 128-139
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• Pedro Evangelista, Isabel Rocha, Eugénio C. Ferreira, Miguel Rocha:
  Evolutionary Approaches for Strain Optimization Using Dynamic Models under a Metabolic Engineering Perspective. 140-151
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• Gianluigi Folino, Fabio Gori, Mike S. M. Jetten, Elena Marchiori:
  Clustering Metagenome Short Reads Using Weighted Proteins. 152-163
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• Jean-Michel Richer, Adrien Goëffon, Jin-Kao Hao:
  A Memetic Algorithm for Phylogenetic Reconstruction with Maximum Parsimony. 164-175
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• Rui Dilão, Daniele Muraro, Miguel Nicolau, Marc Schoenauer:
  Validation of a Morphogenesis Model of Drosophila Early Development by a Multi-objective Evolutionary Optimization Algorithm. 176-190
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• Anirban Mukhopadhyay, Ujjwal Maulik, Sanghamitra Bandyopadhyay:
  Refining Genetic Algorithm Based Fuzzy Clustering through Supervised Learning for Unsupervised Cancer Classification. 191-202
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