Titlebook: Advances in Bioinformatics and Computational Biology; Second Brazilian Sym Marie-France Sagot,Maria Emilia M. T. Walter Conference proceedi

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Grußwort aus Rektorat und Fakultätular Biology, the function of a large amount of proteins is still unknown. The use of algorithms able to induce classification models is a promising approach for the functional prediction of proteins, whose classes are usually organized hierarchically. Among the machine learning techniques that have

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Grußwort aus Rektorat und Fakultätt AUG, but this is not always the case. This task can be modeled as a classification problem between positive (TIS) and negative patterns. Here we have used Support Vector Machine working with data processed by the class balancing method called Smote (Synthetic Minority Over-sampling Technique). Smo

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Simultandiagnostik und -therapierent tissues of the coffee tree was performed and resulted in the formation of the Brazilian Coffee Genome EST database (CafEST). There is a raising interest of genetic breeding programs in developing varieties of . with increased resistance to nematodes, pests, and diseases. A high number of plant

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Alfred Pauser (Em. O. Univ.-Prof. DI Dr.)s to optimize the algorithm, achieving runtimes several times faster than the unoptimized approach. One example the algorithm proposed in this paper can be useful for is searching conserved sequences in protein chains.