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ORCIDEvoBIO 2009: Tübingen, Germany
- Clara Pizzuti, Marylyn D. Ritchie, Mario Giacobini
:
Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, 7th European Conference, EvoBIO 2009, Tübingen, Germany, April 15-17, 2009, Proceedings. Lecture Notes in Computer Science 5483, Springer 2009, ISBN 978-3-642-01183-2 - 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 - 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 - Georg Hinselmann, Andreas Jahn, Nikolas Fechner, Andreas Zell:
Chronic Rat Toxicity Prediction of Chemical Compounds Using Kernel Machines. 25-36 - Glennie Helles:
Simulating Evolution of Drosophila Melanogaster Ebony Mutants Using a Genetic Algorithm. 37-43 - Cristian Andrés Gallo, Jessica Andrea Carballido, Ignacio Ponzoni:
Microarray Biclustering: A Novel Memetic Approach Based on the PISA Platform. 44-55 - Piyushkumar A. Mundra, Jagath C. Rajapakse:
F-score with Pareto Front Analysis for Multiclass Gene Selection. 56-67 - Fernando E. B. Otero, Alex Alves Freitas, Colin G. Johnson:
A Hierarchical Classification Ant Colony Algorithm for Predicting Gene Ontology Terms. 68-79 - 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 - 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 - Jorge Tavares, Salma Mesmoudi, El-Ghazali Talbi:
On the Efficiency of Local Search Methods for the Molecular Docking Problem. 104-115 - 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 - Ajay Kumar Tanwani, M. Jamal Afridi, M. Zubair Shafiq, Muddassar Farooq:
Guidelines to Select Machine Learning Scheme for Classification of Biomedical Datasets. 128-139 - Pedro Evangelista, Isabel Rocha, Eugénio C. Ferreira, Miguel Rocha:
Evolutionary Approaches for Strain Optimization Using Dynamic Models under a Metabolic Engineering Perspective. 140-151 - Gianluigi Folino, Fabio Gori, Mike S. M. Jetten, Elena Marchiori:
Clustering Metagenome Short Reads Using Weighted Proteins. 152-163 - Jean-Michel Richer, Adrien Goëffon, Jin-Kao Hao:
A Memetic Algorithm for Phylogenetic Reconstruction with Maximum Parsimony. 164-175 - 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 - 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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