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Herausgeber: 
  • Jagath C. Rajapakse
  • Elena Marchiori
  • Jason H. Moore
  • Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics: 5th European Conference, EvoBIO 2007, Valencia, Spain, April 11-13, 2007 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 5-10 Tagen versandfertig
    Veröffentlichung:  April 2007  
    Genre:  EDV / Informatik 
     
    algorithmanalysisandproblemcomplexity / Algorithmen und Datenstrukturen / bioinformatics / Bioinformatik / Biology / datamining / Evolution / evolutionarycomputation
    ISBN:  9783540717829 
    EAN-Code: 
    9783540717829 
    Verlag:  Springer 
    Einband:  Kartoniert  
    Sprache:  English  
    Serie:  #4447 - Lecture Notes in Computer Science
    Theoretical Computer Science and General Issues  
    Dimensionen:  H 235 mm / B 155 mm / D 18 mm 
    Gewicht:  487 gr 
    Seiten:  320 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    Identifying Regulatory Sites Using Neighborhood Species.- Genetic Programming and Other Machine Learning Approaches to Predict Median Oral Lethal Dose (LD50) and Plasma Protein Binding Levels (%PPB) of Drugs.- Hypothesis Testing with Classifier Systems for Rule-Based Risk Prediction.- Robust Peak Detection and Alignment of nanoLC-FT Mass Spectrometry Data.- One-Versus-One and One-Versus-All Multiclass SVM-RFE for Gene Selection in Cancer Classification.- Understanding Signal Sequences with Machine Learning.- Targeting Differentially Co-regulated Genes by Multiobjective and Multimodal Optimization.- Modeling Genetic Networks: Comparison of Static and Dynamic Models.- A Genetic Embedded Approach for Gene Selection and Classification of Microarray Data.- Modeling the Shoot Apical Meristem in A. thaliana: Parameter Estimation for Spatial Pattern Formation.- Evolutionary Search for Improved Path Diagrams.- Simplifying Amino Acid Alphabets Using a Genetic Algorithm and Sequence Alignment.- Towards Evolutionary Network Reconstruction Tools for Systems Biology.- A Gaussian Evolutionary Method for Predicting Protein-Protein Interaction Sites.- Bio-mimetic Evolutionary Reverse Engineering of Genetic Regulatory Networks.- Tuning ReliefF for Genome-Wide Genetic Analysis.- Dinucleotide Step Parameterization of Pre-miRNAs Using Multi-objective Evolutionary Algorithms.- Amino Acid Features for Prediction of Protein-Protein Interface Residues with Support Vector Machines.- Predicting HIV Protease-Cleavable Peptides by Discrete Support Vector Machines.- Inverse Protein Folding on 2D Off-Lattice Model: Initial Results and Perspectives.- Virtual Error: A New Measure for Evolutionary Biclustering.- Characterising DNA/RNA Signals with Crisp Hypermotifs: A Case Study on Core Promoters.-Evaluating Evolutionary Algorithms and Differential Evolution for the Online Optimization of Fermentation Processes.- The Role of a Priori Information in the Minimization of Contact Potentials by Means of Estimation of Distribution Algorithms.- Classification of Cell Fates with Support Vector Machine Learning.- Reconstructing Linear Gene Regulatory Networks.- Individual-Based Modeling of Bacterial Foraging with Quorum Sensing in a Time-Varying Environment.- Substitution Matrix Optimisation for Peptide Classification.

      



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