EvoBIO 2009:
Tübingen,
Germany
Clara Pizzuti, Marylyn D. Ritchie, Mario Giacobini (Eds.):
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
Last update Fri May 25 05:59:57 2012
CET by the DBLP Team — 
Data released under the ODC-BY 1.0 license — See also our legal information page
