| Description |
1 online resource (xiii, 253 pages) |
| Series |
Lecture notes in computer science, 0302-9743 ; 7246 |
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LNCS sublibrary. SL 1, Theoretical computer science and general issues |
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Lecture notes in computer science ; 7246.
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LNCS sublibrary. SL 1, Theoretical computer science and general issues.
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| Contents |
Automatic Task Decomposition for the NeuroEvolution of Augmenting Topologies (NEAT) Algorithm / Timmy Manning and Paul Walsh -- Evolutionary Reaction Systems / Luca Manzoni, Mauro Castelli and Leonardo Vanneschi -- Optimizing the Edge Weights in Optimal Assignment Methods for Virtual Screening with Particle Swarm Optimization / Lars Rosenbaum, Andreas Jahn and Andreas Zell -- Lévy-Flight Genetic Programming: Towards a New Mutation Paradigm / Christian Darabos, Mario Giacobini, Ting Hu and Jason H. Moore -- Understanding Zooplankton Long Term Variability through Genetic Programming / Simone Marini and Alessandra Conversi -- Inferring Disease-Related Metabolite Dependencies with a Bayesian Optimization Algorithm / Holger Franken, Alexander Seitz, Rainer Lehmann, Hans-Ulrich Häring and Norbert Stefan, et al. -- A GPU-Based Multi-swarm PSO Method for Parameter Estimation in Stochastic Biological Systems Exploiting Discrete-Time Target Series / Marco S. Nobile, Daniela Besozzi, Paolo Cazzaniga, Giancarlo Mauri and Dario Pescini -- Tracking the Evolution of Cooperation in Complex Networked Populations / Flávio L. Pinheiro, Francisco C. Santos and Jorge M. Pacheco -- GeNet: A Graph-Based Genetic Programming Framework for the Reverse Engineering of Gene Regulatory Networks / Leonardo Vanneschi, Matteo Mondini, Martino Bertoni, Alberto Ronchi and Mattia Stefano -- Comparing Multiobjective Artificial Bee Colony Adaptations for Discovering DNA Motifs / David L. González-Álvarez, Miguel A. Vega-Rodríguez, Juan A. Gómez-Pulido and Juan M. Sánchez-Pérez -- The Role of Mutations in Whole Genome Duplication / Qinxin Pan, Christian Darabos and Jason H. Moore -- Comparison of Methods for Meta-dimensional Data Analysis Using in Silico and Biological Data Sets / Emily R. Holzinger, Scott M. Dudek, Alex T. Frase, Brooke Fridley and Prabhakar Chalise, et al |
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Inferring Phylogenetic Trees Using a Multiobjective Artificial Bee Colony Algorithm / Sergio Santander-Jiménez, Miguel A. Vega-Rodríguez, Juan A. Gómez-Pulido and Juan M. Sánchez-Pérez -- Prediction of Mitochondrial Matrix Protein Structures Based on Feature Selection and Fragment Assembly / Gualberto Asencio-Cortés, Jesús S. Aguilar-Ruiz, Alfonso E. Márquez-Chamorro, Roberto Ruiz and Cosme E. Santiesteban-Toca -- Feature Selection for Lung Cancer Detection Using SVM Based Recursive Feature Elimination Method / Kesav Kancherla and Srinivas Mukkamala -- Measuring Gene Expression Noise in Early Drosophila Embryos: The Highly Dynamic Compartmentalized Micro-environment of the Blastoderm Is One of the Main Sources of Noise / Alexander V. Spirov, Nina E. Golyandina, David M. Holloway, Theodore Alexandrov and Ekaterina N. Spirova, et al. -- Artificial Immune Systems Perform Valuable Work When Detecting Epistasis in Human Genetic Datasets / Delaney Granizo-Mackenzie and Jason H. Moore -- A Biologically Informed Method for Detecting Associations with Rare Variants / Carrie C. Buchanan, John R. Wallace, Alex T. Frase, Eric S. Torstenson and Sarah A. Pendergrass, et al. -- Complex Detection in Protein-Protein Interaction Networks: A Compact Overview for Researchers and Practitioners / Clara Pizzuti, Simona E. Rombo and Elena Marchiori -- Short-Range Interactions and Decision Tree-Based Protein Contact Map Predictor / Cosme E. Santiesteban-Toca, Gualberto Asencio-Cortés, Alfonso E. Márquez-Chamorro and Jesús S. Aguilar-Ruiz -- A NSGA-II Algorithm for the Residue-Residue Contact Prediction / Alfonso E. Márquez-Chamorro, Federico Divina, Jesús S. Aguilar-Ruiz, Jaume Bacardit and Gualberto Asencio-Cortés, et al. -- In Silico Infection of the Human Genome / W.B. Langdon and M.J. Arno -- Improving Phylogenetic Tree Interpretability by Means of Evolutionary Algorithms / Francesco Cerutti, Luigi Bertolotti, Tony L. Goldberg and Mario Giacobini |
| Summary |
This book constitutes the refereed proceedings of the 10th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, EvoBIO 2012, held in Málaga, Spain, in April 2012 co-located with the Evo* 2012 events. The 15 revised full papers presented together with 8 poster papers were carefully reviewed and selected from numerous submissions. Computational Biology is a wide and varied discipline, incorporating aspects of statistical analysis, data structure and algorithm design, machine learning, and mathematical modeling toward the processing and improved understanding of biological data. Experimentalists now routinely generate new information on such a massive scale that the techniques of computer science are needed to establish any meaningful result. As a consequence, biologists now face the challenges of algorithmic complexity and tractability, and combinatorial explosion when conducting even basic analyses |
| Analysis |
Computer science |
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Computer software |
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Artificial intelligence |
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Bioinformatics |
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Computational Biology/Bioinformatics |
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Algorithm Analysis and Problem Complexity |
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Computation by Abstract Devices |
| Notes |
International conference proceedings |
| Bibliography |
Includes bibliographical references and author index |
| In |
Springer eBooks |
| Subject |
Computational biology -- Congresses
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Bioinformatics -- Congresses
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Evolutionary computation -- Congresses
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Data mining -- Congresses
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Machine learning -- Congresses
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Artificial intelligence.
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Software
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Artificial Intelligence
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Electronic Data Processing
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software.
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artificial intelligence.
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data processing.
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computer science.
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Informatique.
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Bioinformatics
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Computational biology
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Data mining
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Evolutionary computation
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Machine learning
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| Genre/Form |
Conference papers and proceedings
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Software.
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| Form |
Electronic book
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| Author |
Giacobini, Mario.
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Vanneschi, Leonardo.
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Bush, William S
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| ISBN |
9783642290664 |
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3642290663 |
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