Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics 6th European Conference, EvoBIO 2008, Naples, Italy, March 26-28, 2008, Proceedings /

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Marchiori, Elena (Editor ), Moore, Jason H. (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2008.
Edición:1st ed. 2008.
Colección:Theoretical Computer Science and General Issues, 4973
Temas:
Artificial intelligence.
Computer programming.
Computer science.
Algorithms.
Bioinformatics.
Pattern recognition systems.
Artificial Intelligence.
Programming Techniques.
Theory of Computation.
Computational and Systems Biology.
Automated Pattern Recognition.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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.

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