Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics [E-Book] : 11th European Conference, EvoBIO 2013, Vienna, Austria, April 3-5, 2013. Proceedings / edited by Leonardo Vanneschi, William S. Bush, Mario Giacobini.
Vanneschi, Leonardo.
Bush, William S. / Giacobini, Mario.
Berlin, Heidelberg : Springer, 2013
XII, 215 p. 64 illus. digital.
englisch
9783642371899
10.1007/978-3-642-37189-9
Lecture notes in computer science ; 7833
Full Text
Table of Contents:
  • 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.