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Creatore: |
EvoBIO 2012 (2012 : Málaga, Spain)
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Titolo: |
Evolutionary computation, machine learning and data mining in bioinformatics [electronic resource] : 10th European Conference, EvoBIO 2012, Málaga, Spain, April 11-13, 2012. Proceedings / Mario Giacobini, Leonardo Vanneschi, William S. Bush (eds.).
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Link to work: |
Evolutionary computation, machine learning, and data mining in bioinformatics
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Pubblicazione: |
Berlin ; New York : Springer, ©2012
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Estensione: | 1 online resource (xiii, 253 pages). |
Tipo formato: | computer |
Tipo contenuto: | text |
Tipo supporto: | online resource |
Disciplina: | 570.285 |
Titolo uniforme di collana: | Lecture notes in computer science ; 7246. |
LNCS sublibrary. SL 1, Theoretical computer science and general issues. | |
Genere/Forma: | Electronic books |
Conference papers and proceedings | |
Index term-Uncontrolled: | Computer science |
Computer software | |
Artificial intelligence | |
Bioinformatics | |
Computational Biology/Bioinformatics | |
Algorithm Analysis and Problem Complexity | |
Computation by Abstract Devices | |
Soggetto non controllato: | Computer science |
Computer software | |
Artificial intelligence | |
Bioinformatics | |
Computational Biology/Bioinformatics | |
Algorithm Analysis and Problem Complexity | |
Computation by Abstract Devices | |
Termine d'indicizzazione-Occupazione: | Computer science |
Computer software | |
Artificial intelligence | |
Bioinformatics | |
Computational Biology/Bioinformatics | |
Algorithm Analysis and Problem Complexity | |
Computation by Abstract Devices | |
Classificazione LOC: | QH324.2 .E96 2012 |
Creatori/Collaboratori: | Giacobini, Mario |
Vanneschi, Leonardo | |
Bush, William S. | |
Note generali: | International conference proceedings. |
Contenuto supplementare: | Includes bibliographical references and author index. |
Nota di contenuto: | 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. |
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. | |
Restrizioni accesso: | Access is restricted to users affiliated with licensed institutions. |
Collana: | Lecture notes in computer science, 0302-9743 ; 7246 |
LNCS sublibrary. SL 1, Theoretical computer science and general issues | |
ISBN: | 9783642290664 |
3642290663 | |
9783642290657 | |
Formato: | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione: | Inglese |
Record Nr.: | 004374719 |
Localizzazioni e accesso elettronico | http://link.springer.com/10.1007/978-3-642-29066-4 |
Collocazione: | Electronic access |
Lo trovi qui: | New York University |