By Sérgio Campos
This ebook constitutes the refereed lawsuits of the ninth Brazilian Symposium on Bioinformatics, BSB 2014, held in Belo Horizonte, Brazil, in October 2014. The 18 revised complete papers offered have been conscientiously reviewed and chosen from 32 submissions. The papers disguise all elements of bioinformatics and computational biology.
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Extra info for Advances in Bioinformatics and Computational Biology: 9th Brazilian Symposium on Bioinformatics, BSB 2014, Belo Horizonte, Brazil, October 28-30, 2014, Proceedings
Faria-Campos et al. Fig. 1. NMO Interface where the already executed and available activities are shown in diﬀerent colors have been speciﬁed by a specialist in the disease, and the workﬂow development has been done by a informatics student working with the specialist. Tipically development takes a few hours spread over a number of sessions which interactively reﬁne the workﬂow until the system is considered ﬁnished. All systems have been tested by doctors which veriﬁed that the system can be used for real patient consultation.
This way, the objective of the experiments conducted in this work is to evaluate the impact of the sequence length variation on the classiﬁers performance. 1 Computational Experiments Classifiers and Experimental Setup SVM (Support Vector Machine) and k-NN (k-Nearest Neighbours) classiﬁers, usually adopted in data mining works, were chosen to evaluate the impact of the sequence length variation on the performance of predictive models. Experiments were conducted using the caret package (short for classification and regression training) in R , which is a programming language and an environment widely used in statistical and graphics computation for data analysis.
On the other hand, the other eager learner, ANN, presents competitive results. 9097). Table 5. The comparison performance of classiﬁers in accordance to the ACC and Kappa measures. The highlighted cells show the best results. 737 Random Forest Classifier Evaluation In Figure 2 we show the importance of each of the 6 variables used by RF. The size of the sequence was selected as the most important attribute, maybe due to the fact that the coding regions are in most cases higher than non-coding. Among the GC content measures applied, the concentration of GC in second position of codons showed a very signiﬁcant importance as compared to the others.
Advances in Bioinformatics and Computational Biology: 9th Brazilian Symposium on Bioinformatics, BSB 2014, Belo Horizonte, Brazil, October 28-30, 2014, Proceedings by Sérgio Campos