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

Contributor(s): Marchiori, Elena [editor.] | Moore, Jason H [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Lecture Notes in Computer Science: 4973Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2008.Description: X, 213 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783540787570.Subject(s): Computer science | Computer programming | Computers | Algorithms | Artificial intelligence | Pattern recognition | Bioinformatics | Computer Science | Artificial Intelligence (incl. Robotics) | Programming Techniques | Computation by Abstract Devices | Algorithm Analysis and Problem Complexity | Computational Biology/Bioinformatics | Pattern RecognitionOnline resources: Click here to access online
Contents:
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.
In: Springer eBooks
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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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