Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics : 11th European Conference, EvoBIO 2013, Vienna, Austria, April 3-5, 2013. Proceedings

This book constitutes the refereed proceedings of the 11th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, EvoBIO 2013, held in Vienna, Austria, in April 2013, colocated with the Evo* 2013 events EuroGP, EvoCOP, EvoMUSART and EvoApplications. The...

Полное описание

Сохранить в:
Библиографические подробности
Соавтор: European conference on evolutionary computation, machine learning and data mining in bioinformatics :Vienne
Другие авторы: Vanneschi, Leonardo (Публикующий директор), Bush, William S., 19..-...., chercheur en informatique (Публикующий директор), Giacobini, Mario, 19..- (Публикующий директор)
Формат: Livre numérique
Язык:Anglais
Опубликовано: Berlin, Heidelberg : Springer Berlin Heidelberg 2013.
Cham : Springer Nature
Серии:Theoretical Computer Science and General Issues 7833
Online-ссылка:Accès sur la plateforme de l'éditeur
Accès sur la plateforme de l'éditeur (Springer)
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
Примечание: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, Texte imprimé, 9783642371882
• Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, Texte imprimé, 9783642371905
Оглавление:
  • 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.