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Revista Cubana de Ciencias Informáticas

versão On-line ISSN 2227-1899

Resumo

LOPEZ APARICIO, Liuben; SANTIESTEBAN-TOCA, Cosme E  e  GIRALDEZ ROJO, Raúl. Inference of gene association networks using genetic algorithms and graph topology. Rev cuba cienc informat [online]. 2017, vol.11, n.3, pp.21-35. ISSN 2227-1899.

ABSTRACT Because of the existence of a large number of diseases of polygenic nature, a greater importance to the result of genetic interaction is imparted nowadays to the function of each gene separately. For this reason, it is very significant to study gene networks. In recent years, the problem of inferring gene association networks using various techniques has been tackled, however, despite these efforts, even a significant degree of accuracy is not achieved by inferring networks. That is why an algorithm for inference of gene networks based on a genetic algorithm that takes into account that many of the biological networks characterized so far experimentally, adjust to the free scale and small world graphs topology. As a result, this algorithm achieves to infer gene networks with high accuracy and maintaining the biological sense.

Palavras-chave : Gene Networks; Genetic Algorithm; Inference; Graph Topology.

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