Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics (eBook, PDF)

6th European Conference, EvoBIO 2008, Naples, Italy, March 26-28, 2008, Proceedings
Redaktion: Marchiori, Elena; Moore, Jason H.

• Format: PDF

Produktbeschreibung

Coverage in this proceedings volume includes biomarker discovery, cell simulation and modeling, ecological modeling, gene networks, biotechnology, microarray analysis, protein interactions, proteomics, sequence analysis and alignment, and systems biology

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Produktdetails

• Verlag: Springer-Verlag GmbH
• Seitenzahl: 213
• Erscheinungstermin: 3. April 2008
• Englisch
• ISBN-13: 9783540787570
• Artikelnr.: 44129780

Inhaltsangabe

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.