By Roberto T. Alves, Myriam R. Delgado, Alex A. Freitas (auth.), Ana L. C. Bazzan, Mark Craven, Natália F. Martins (eds.)
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.
Read or Download Advances in Bioinformatics and Computational Biology: Third Brazilian Symposium on Bioinformatics, BSB 2008, Santo André, Brazil, August 28-30, 2008. Proceedings PDF
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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
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 . 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.