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- W2994888142 abstract "Genomes of many organisms have been sequenced over the last few years. However, transforming such raw sequence data into knowledge remains a hard task. A great number of prediction programs have been developed to address part of this problem: the location of genes along a genome. We propose a multi-objective methodology using fuzzy logic to combine algorithms into an aggregation scheme in order to obtain optimal methods’ aggregations. Results show improvements in specicity and sensitivity when our methodology is compared to the performance of individual methods for gene nding problems. The here proposed methodology is an automatic method generator, and a step forward to exploit all already existing methods, by providing optimal methods’ aggregations to answer concrete queries for a certain biological problem with a maximized accuracy of the prediction. As more approaches are integrated, de novo accuracy can be expected to improve further." @default.
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- W2994888142 date "2010-01-01" @default.
- W2994888142 modified "2023-09-23" @default.
- W2994888142 title "Optimization of multi-clasiffiers using a fuzzy logic approach: an aplication to the gene prediction problem" @default.
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