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ISBN 10: 3540787569 ISBN 13: 9783540787563
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Añadir al carritoCondición: New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 6-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
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Añadir al carritoTaschenbuch. Condición: Neu. Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics | 6th European Conference, EvoBIO 2008, Naples, Italy, March 26-28, 2008, Proceedings | Elena Marchiori (u. a.) | Taschenbuch | x | Englisch | 2008 | Springer | EAN 9783540787563 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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ISBN 10: 3540787569 ISBN 13: 9783540787563
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 232 pp. Englisch.
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Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. A Hybrid Random Subspace Classifier Fusion Approach for Protein Mass Spectra Classification.- Using Ant Colony Optimization-Based Selected Features for Predicting Post-synaptic Activity in Proteins.- Generating Linkage Disequilibrium Patterns in Data Simula.
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Publicado por Springer, Springer Mär 2008, 2008
ISBN 10: 3540787569 ISBN 13: 9783540787563
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -A Hybrid Random Subspace Classifier Fusion Approach for Protein Mass Spectra Classification.- Using Ant Colony Optimization-Based Selected Features for Predicting Post-synaptic Activity in Proteins.- Generating Linkage Disequilibrium Patterns in Data Simulations Using genomeSIMLA.- DEEPER: A Full Parsing Based Approach to Protein Relation Extraction.- Improving the Performance of Hierarchical Classification with Swarm Intelligence.- Protein Interaction Inference Using Particle Swarm Optimization Algorithm.- Divide, Align and Full-Search for Discovering Conserved Protein Complexes.- Detection of Quantitative Trait Associated Genes Using Cluster Analysis.- Frequent Subsplit Representation of Leaf-Labelled Trees.- Inference on Missing Values in Genetic Networks Using High-Throughput Data.- Mining Gene Expression Patterns for the Discovery of Overlapping Clusters.- Development and Evaluation of an Open-Ended Computational Evolution System for the Genetic Analysis of Susceptibility to Common Human Diseases.- Gene Selection and Cancer Microarray Data Classification Via Mixed-Integer Optimization.- Detection of Protein Complexes in Protein Interaction Networks Using n-Clubs.- Learning Gaussian Graphical Models of Gene Networks with False Discovery Rate Control.- Enhancing Parameter Estimation of Biochemical Networks by Exponentially Scaled Search Steps.- A Wrapper-Based Feature Selection Method for ADMET Prediction Using Evolutionary Computing.- On the Convergence of Protein Structure and Dynamics. Statistical Learning Studies of Pseudo Folding Pathways.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 232 pp. Englisch.