Evolutionary computation, machine learning and data mining in bioinformatics : 6th European conference, EvoBIO 2008, Naples, Italy, March 26-28, 2008 : proceedings / / Elena Marchiori, Jason H. Moore (eds.)

• Record Nr.: UNINA9910483722103321
• Pubbl/distr/stampa: Berlin ; ; New York, : Springer, c2008
• ISBN: 3-540-78757-7
• Edizione: [1st ed. 2008.]
• Descrizione fisica: 1 online resource (X, 213 p.)
• Collana: Lecture notes in computer science, , 0302-9743 ; ; 4973; LNCS sublibrary. SL 1, Theoretical computer science and general issues
• Altri autori (Persone): MarchioriE; MooreJason H
• Disciplina: 572.80285
• Soggetti: Bioinformatics; Artificial intelligence - Biological applications; Computational biology; Evolutionary computation; Data mining
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Bibliographic Level Mode of Issuance: Monograph
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: 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.