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Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics [[electronic resource] ] : 11th European Conference, EvoBIO 2013, Vienna, Austria, April 3-5, 2013, Proceedings / / edited by Leonardo Vanneschi, William S. Bush, Mario Giacobini
| Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics [[electronic resource] ] : 11th European Conference, EvoBIO 2013, Vienna, Austria, April 3-5, 2013, Proceedings / / edited by Leonardo Vanneschi, William S. Bush, Mario Giacobini |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 |
| Descrizione fisica | 1 online resource (XII, 217 p. 64 illus.) |
| Disciplina | 570.285 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Bioinformatics
Data mining Algorithms Computer science Computational and Systems Biology Data Mining and Knowledge Discovery Theory of Computation |
| ISBN | 3-642-37189-2 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Multiple Threshold Spatially Uniform ReliefF for the Genetic Analysis of Complex Human Diseases -- Time-Point Specific Weighting Improves Coexpression Networks from Time-Course Experiments -- Inferring Human Phenotype Networks from Genome-Wide Genetic -- Knowledge-Constrained K-Medoids Clustering of Regulatory Rare Alleles for Burden Tests -- Feature Selection and Classification of High Dimensional Mass Spectrometry Data: A Genetic Programming Approach -- Structured Populations and the Maintenance of Sex -- Hybrid Multiobjective Artificial Bee Colony with Differential Evolution Applied to Motif Finding -- ACO-Based Bayesian Network Ensembles for the Hierarchical Classification of Ageing-Related Proteins -- Dimensionality Reduction via Isomap with Lock-Step and Elastic Measures for Time Series Gene Expression Classification -- Supervising Random Forest Using Attribute Interaction Networks -- Hybrid Genetic Algorithms for Stress Recognition in Optimal Use of Biological Expert Knowledge from Literature -- Mining in Ant Colony Optimization for Analysis of Epistasis in Human Disease -- A Multiobjective Proposal Based on the Firefly Algorithm for Inferring Phylogenies -- Mining for Variability in the Coagulation Pathway: A Systems Biology Approach -- Improving the Performance of CGPANN for Breast Cancer Diagnosis Using Crossover and Radial Basis Functions -- An Evolutionary Approach to Wetlands Design -- Impact of Different Recombination Methods in a Mutation-Specific MOEA for a Biochemical Application -- Cell–Based Metrics Improve the Detection of Gene-Gene Interactions Using Multifactor Dimensionality Reduction -- Emergence of Motifs in Model Gene Regulatory Networks. |
| Record Nr. | UNISA-996465686303316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics : 11th European Conference, EvoBIO 2013, Vienna, Austria, April 3-5, 2013, Proceedings / / edited by Leonardo Vanneschi, William S. Bush, Mario Giacobini
| Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics : 11th European Conference, EvoBIO 2013, Vienna, Austria, April 3-5, 2013, Proceedings / / edited by Leonardo Vanneschi, William S. Bush, Mario Giacobini |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 |
| Descrizione fisica | 1 online resource (XII, 217 p. 64 illus.) |
| Disciplina | 570.285 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Bioinformatics
Data mining Algorithms Computer science Computational and Systems Biology Data Mining and Knowledge Discovery Theory of Computation |
| ISBN | 3-642-37189-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Multiple Threshold Spatially Uniform ReliefF for the Genetic Analysis of Complex Human Diseases -- Time-Point Specific Weighting Improves Coexpression Networks from Time-Course Experiments -- Inferring Human Phenotype Networks from Genome-Wide Genetic -- Knowledge-Constrained K-Medoids Clustering of Regulatory Rare Alleles for Burden Tests -- Feature Selection and Classification of High Dimensional Mass Spectrometry Data: A Genetic Programming Approach -- Structured Populations and the Maintenance of Sex -- Hybrid Multiobjective Artificial Bee Colony with Differential Evolution Applied to Motif Finding -- ACO-Based Bayesian Network Ensembles for the Hierarchical Classification of Ageing-Related Proteins -- Dimensionality Reduction via Isomap with Lock-Step and Elastic Measures for Time Series Gene Expression Classification -- Supervising Random Forest Using Attribute Interaction Networks -- Hybrid Genetic Algorithms for Stress Recognition in Optimal Use of Biological Expert Knowledge from Literature -- Mining in Ant Colony Optimization for Analysis of Epistasis in Human Disease -- A Multiobjective Proposal Based on the Firefly Algorithm for Inferring Phylogenies -- Mining for Variability in the Coagulation Pathway: A Systems Biology Approach -- Improving the Performance of CGPANN for Breast Cancer Diagnosis Using Crossover and Radial Basis Functions -- An Evolutionary Approach to Wetlands Design -- Impact of Different Recombination Methods in a Mutation-Specific MOEA for a Biochemical Application -- Cell–Based Metrics Improve the Detection of Gene-Gene Interactions Using Multifactor Dimensionality Reduction -- Emergence of Motifs in Model Gene Regulatory Networks. |
| Record Nr. | UNINA-9910483409103321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics [[electronic resource] ] : 10th European Conference, EvoBIO 2012, Málaga, Spain, April 11-13, 2012, Proceedings / / edited by Mario Giacobini, Leonardo Vanneschi, William S. Bush
| Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics [[electronic resource] ] : 10th European Conference, EvoBIO 2012, Málaga, Spain, April 11-13, 2012, Proceedings / / edited by Mario Giacobini, Leonardo Vanneschi, William S. Bush |
| Edizione | [1st ed. 2012.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012 |
| Descrizione fisica | 1 online resource (XIII, 255 p. 76 illus.) |
| Disciplina | 570.285 |
| Collana | Theoretical Computer Science and General Issues |
| 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 |
| ISBN | 3-642-29066-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996465995003316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||