By Roberto T. Alves, Myriam R. Delgado, Alex A. Freitas (auth.), Ana L. C. Bazzan, Mark Craven, Natália F. Martins (eds.)

ISBN-10: 3540855564

ISBN-13: 9783540855569

This e-book constitutes the refereed lawsuits of the 3rd Brazilian Symposium on Bioinformatics, BSB 2008, held in Sao Paulo, Brazil, in August 2008 - co-located with IWGD 2008, the foreign Workshop on Genomic Databases.

The 14 revised complete papers and five prolonged abstracts have been conscientiously reviewed and chosen from forty-one submissions. The papers deal with a large diversity of present issues in computational biology and bioinformatics that includes unique examine in desktop technology, arithmetic and statistics in addition to in molecular biology, biochemistry, genetics, drugs, microbiology and different existence sciences.

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Additional info for Advances in Bioinformatics and Computational Biology: Third Brazilian Symposium on Bioinformatics, BSB 2008, Santo André, Brazil, August 28-30, 2008. Proceedings

Sample text

This average is the error rate of the classification model. Once the error rate is obtained, the accuracy is defined by the complement of this value. The final accuracy rate of the classification model is then given by the mean of the predictive depth-dependent accuracies on the test sets generated by using 5-fold cross-validation. P. Costa et al. 13 is the weight of an edge between a class in the first level and any of its subclasses, and so on. These weights were used originally in [12]. Statistical tests were employed in order to verify statistical significances (at 95% of confidence level) among the results from the several hierarchical classification models induced.

In this paper, three protein function datasets are analyzed - each one employing one different kind of protein signature - for a comparative study among six hierarchical classification algorithms. The algorithm based on the Top-Down Ensembles approach - a variation of the Top-Down approach that uses combination of classifiers for the induction of the classification model - presented better results across the three different kinds of protein signatures - Prosite, Pfam and Prints. The main contribution of this paper is to show that combinations of classifiers can improve the performance of hierarchical classification models, a result that was consistent even for different types of protein signatures.

Protein Science 12(9), 2001–2014 (2003) 16. : Stereochemical criteria for polypeptide and protein chain conformations: II. Allowed conformations for a pair of peptide units. Biophysical Journal 5(6), 909 (1965) 17. : An efficient clash detection method for molecular structures. Technical Report 21, INESC-ID (August 2007) Top-Down Hierarchical Ensembles of Classifiers for Predicting G-Protein-Coupled-Receptor Functions Eduardo P. Costa1 , Ana C. F. Carvalho1 , and Alex A. Freitas3 3 1 Depto. uk Abstract.

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