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Article type: Other
Authors: Díaz-Díaz, Norberto
Affiliations: School of Engineering, Pablo de Olavide University, Seville, Spain. E-mail: ndiaz@upo.es
Abstract: This work proposes two new approaches to establish the quality of genetic model based on current biological knowledge. First, it is developed a KEGG-based tool that provides a friendly graphical environment to analyze gene-enrichment. Moreover, a novel GO-based dissimilarity measure is proposed for evaluating groups of genes based on the most relevant functions of the whole set. To found this function, an heuristic approach based on Voronoi diagram has been presented.
Keywords: Biological validation, enrichment analysis, semantic similarity, genetic model
DOI: 10.3233/AIC-130553
Journal: AI Communications, vol. 26, no. 2, pp. 247-249, 2013
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