Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics [[electronic resource] ] : 8th European Conference, EvoBIO 2010, Istanbul, Turkey, April 7-9, 2010, Proceedings / / edited by Clara Pizzuti, Marylyn D. Ritchie, Mario Giacobini
(Visualizza in formato marc)
(Visualizza in BIBFRAME)
| Titolo: |
Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics [[electronic resource] ] : 8th European Conference, EvoBIO 2010, Istanbul, Turkey, April 7-9, 2010, Proceedings / / edited by Clara Pizzuti, Marylyn D. Ritchie, Mario Giacobini
|
| Pubblicazione: | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2010 |
| Edizione: | 1st ed. 2010. |
| Descrizione fisica: | 1 online resource (XII, 249 p. 63 illus.) |
| Disciplina: | 006.3 |
| Soggetto topico: | Bioinformatics |
| Algorithms | |
| Database management | |
| Artificial intelligence | |
| Computer science | |
| Artificial intelligence—Data processing | |
| Computational and Systems Biology | |
| Database Management | |
| Artificial Intelligence | |
| Theory of Computation | |
| Data Science | |
| Classificazione: | BIO 110f |
| DAT 708f | |
| MAT 919f | |
| SS 4800 | |
| WC 7700 | |
| Persona (resp. second.): | PizzutiClara |
| RitchieMarylyn D | |
| GiacobiniMario | |
| Note generali: | Bibliographic Level Mode of Issuance: Monograph |
| Nota di bibliografia: | Includes bibliographical references and index. |
| Nota di contenuto: | Variable Genetic Operator Search for the Molecular Docking Problem -- Variable Genetic Operator Search for the Molecular Docking Problem -- Role of Centrality in Network-Based Prioritization of Disease Genes -- Parallel Multi-Objective Approaches for Inferring Phylogenies -- An Evolutionary Model Based on Hill-Climbing Search Operators for Protein Structure Prediction -- Finding Gapped Motifs by a Novel Evolutionary Algorithm -- Top-Down Induction of Phylogenetic Trees -- A Model Free Method to Generate Human Genetics Datasets with Complex Gene-Disease Relationships -- Grammatical Evolution of Neural Networks for Discovering Epistasis among Quantitative Trait Loci -- Grammatical Evolution Decision Trees for Detecting Gene-Gene Interactions -- Identification of Individualized Feature Combinations for Survival Prediction in Breast Cancer: A Comparison of Machine Learning Techniques -- Correlation–Based Scatter Search for Discovering Biclusters from Gene Expression Data -- A Local Search Appproach for Transmembrane Segment and Signal Peptide Discrimination -- A Replica Exchange Monte Carlo Algorithm for the Optimization of Secondary Structure Packing in Proteins -- Improving Multi-Relief for Detecting Specificity Residues from Multiple Sequence Alignments -- Using Probabilistic Dependencies Improves the Search of Conductance-Based Compartmental Neuron Models -- Posters -- The Informative Extremes: Using Both Nearest and Farthest Individuals Can Improve Relief Algorithms in the Domain of Human Genetics -- Artificial Immune Systems for Epistasis Analysis in Human Genetics -- Metaheuristics for Strain Optimization Using Transcriptional Information Enriched Metabolic Models -- Using Rotation Forest for Protein Fold Prediction Problem: An Empirical Study -- Towards Automatic Detecting of Overlapping Genes - Clustered BLAST Analysis of Viral Genomes -- Investigating Populational Evolutionary Algorithms to Add Vertical Meaning in Phylogenetic Trees. |
| Titolo autorizzato: | Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics |
| ISBN: | 1-280-38605-3 |
| 9786613563972 | |
| 3-642-12211-6 | |
| Formato: | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 996465893203316 |
| Lo trovi qui: | Univ. di Salerno |
| Opac: | Controlla la disponibilità qui |
Serie:
Theoretical Computer Science and General Issues, . 2512-2029 ; ; 6023