Optimization of multi-classifiers for computational biology: Application to the gene finding problem

Rocío Romero-Zaliz, Coral Del Val, Igor Zwir

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 multiobjective methodology to combine algorithms into an aggregation scheme in order to obtain optimal methods' aggregations. Results show a major improvement in specificity and sensitivity when our methodology is compared to the performance of individual methods for gene finding 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 for each of the presented problems, de novo accuracy can be expected to improve further.

Original languageEnglish
Title of host publicationISDA 2009 - 9th International Conference on Intelligent Systems Design and Applications
Pages1233-1238
Number of pages6
DOIs
StatePublished - Dec 1 2009
Externally publishedYes
Event9th International Conference on Intelligent Systems Design and Applications, ISDA 2009 - Pisa, Italy
Duration: Nov 30 2009Dec 2 2009

Publication series

NameISDA 2009 - 9th International Conference on Intelligent Systems Design and Applications

Conference

Conference9th International Conference on Intelligent Systems Design and Applications, ISDA 2009
CountryItaly
CityPisa
Period11/30/0912/2/09

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    Romero-Zaliz, R., Val, C. D., & Zwir, I. (2009). Optimization of multi-classifiers for computational biology: Application to the gene finding problem. In ISDA 2009 - 9th International Conference on Intelligent Systems Design and Applications (pp. 1233-1238). [5364127] (ISDA 2009 - 9th International Conference on Intelligent Systems Design and Applications). https://doi.org/10.1109/ISDA.2009.70