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

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Springer Science & Business Media, 14 thg 3, 2008 - 213 trang
The ?eld of bioinformatics has two main objectives: the creation and main- nance of biological databases, and the discovery of knowledge from life sciences data in order to unravel the mysteries of biological function, leading to new drugs and therapies for human disease. Life sciences data come in the form of biological sequences, structures, pathways, or literature. One major aspect of discovering biological knowledge is to search, predict, or model speci'c infor- tioninagivendatasetinordertogeneratenewinterestingknowledge.Computer science methods such as evolutionary computation, machine learning, and data mining all have a great deal to o'er the ?eld of bioinformatics. The goal of the 6th EuropeanConference on EvolutionaryComputation, Machine Learning, andDataMininginBioinformatics(EvoBIO2008)wastobringtogetherexperts from these ?elds in order to discuss new and novelmethods for tackling complex biological problems. The 6th EvoBIO conference was held in Naples, Italy on March 26-28, 2008 at the "Centro Congressi di Ateneo Federico II." EvoBIO 2008 was held jointly with the 11th European Conference on Genetic Programming (EuroGP 2008), the 8th European Conference on Evolutionary Computation in Combinatorial Optimisation (EvoCOP 2008), and the Evo Workshops. Collectively, the conf- ences and workshops were organized under the name Evo* (www.evostar.org).
 

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A Hybrid Random Subspace Classifier Fusion Approach for Protein Mass Spectra Classification
1
Using Ant Colony OptimizationBased Selected Features for Predicting Postsynaptic Activity in Proteins
12
Generating Linkage Disequilibrium Patterns in Data Simulations Using genomeSIMLA
24
A Full Parsing Based Approach to Protein Relation Extraction
36
Improving the Performance of Hierarchical Classification with Swarm Intelligence
48
Protein Interaction Inference Using Particle Swarm Optimization Algorithm
61
Divide Align and FullSearch for Discovering Conserved Protein Complexes
71
Detection of Quantitative Trait Associated Genes Using Cluster Analysis
83
Mining Gene Expression Patterns for the Discovery of Overlapping Clusters
117
Development and Evaluation of an OpenEnded Computational Evolution System for the Genetic Analysis of Susceptibility to Common Human Disea...
129
Gene Selection and Cancer Microarray Data Classification Via MixedInteger Optimization
141
Detection of Protein Complexes in Protein Interaction Networks Using nClubs
153
Learning Gaussian Graphical Models of Gene Networks with False Discovery Rate Control
165
Enhancing Parameter Estimation of Biochemical Networks by Exponentially Scaled Search Steps
177
A WrapperBased Feature Selection Method for ADMET Prediction Using Evolutionary Computing
188
On the Convergence of Protein Structure and Dynamics Statistical Learning Studies of Pseudo Folding Pathways
200

Frequent Subsplit Representation of LeafLabelled Trees
95
Inference on Missing Values in Genetic Networks Using HighThroughput Data
106
Author Index
212
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