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Herausgeber: 
  • Elena Marchiori
  • Jason H. Moore
  • Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics: 6th European Conference, EvoBIO 2008, Naples, Italy, March 26-28, 2008,  
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 2 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 5-10 Tagen versandfertig
    Veröffentlichung:  März 2008  
    Genre:  EDV / Informatik 
     
    algorithmanalysisandproblemcomplexity / Algorithmen und Datenstrukturen / bioinformatics / Bioinformatik / Biology / Data Mining (EDV) / datamining / Evolution
    ISBN:  9783540787563 
    EAN-Code: 
    9783540787563 
    Verlag:  Springer 
    Einband:  Kartoniert  
    Sprache:  English  
    Serie:  #4973 - Lecture Notes in Computer Science
    Theoretical Computer Science and General Issues  
    Dimensionen:  H 235 mm / B 155 mm / D 13 mm 
    Gewicht:  359 gr 
    Seiten:  232 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    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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