Titlebook: Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics; 6th European Confere Elena Marchiori,Jason H. Moore Conferenc

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Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics978-3-540-78757-0Series ISSN 0302-9743 Series E-ISSN 1611-3349

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A Hybrid Random Subspace Classifier Fusion Approach for Protein Mass Spectra Classification,hers in classifier combination that the major factor for producing better accuracy is the diversity in the classifier team. Re-sampling based approaches like bagging, boosting and random subspace generate multiple models by training a single learning algorithm on multiple random replicates or sub-sa

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DEEPER: A Full Parsing Based Approach to Protein Relation Extraction,ore general language structures such as parsing and dependency information for the construction of feature vectors that can be used by standard machine learning algorithms in deciding whether a sentence describes a protein interaction or not. As our approach is not dependent on the use of specific i

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Protein Interaction Inference Using Particle Swarm Optimization Algorithm,rds the complete understanding of cellular functions. As the experimental techniques for this purpose are expensive and potentially erroneous, there are many computational methods being put forward for prediction of protein-protein interactions. These methods use different genomic features for indir

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Detection of Quantitative Trait Associated Genes Using Cluster Analysis,otype-associated genes using appropriate methods. The limitations for the existing approaches are discussed. We propose a hierarchical mixture model in which the relationship between gene expressions and phenotypic values is described using orthogonal polynomials. Gene specific coefficient, which re