Investigation of coevolutionary approach in gene regulatory network inference (CROSBI ID 599315)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Komlen, Danko ; Jakobović, Domagoj
engleski
Investigation of coevolutionary approach in gene regulatory network inference
Inference of gene regulatory networks is currently an active field of research in system biology. Evolutionary computation algorithms are lately applied for finding the optimal parameters of models. This paper presents a comparison of four evolutionary algorithms (DE, GA, PSO and the hybrid Hooke-Jeeves GA) used with a linear time-variant gene network model. The paper also investigates the efficiency of cooperative coevolution approach to cope with the increased complexity of networks with large number of genes. Experiments were performed on two artificially generated and one real microarray data set. The results are twofold: the efficiency comparison may serve as a guideline for future research, and the application of coevolution proved to be successful for most algorithms.
gene regulatory network; evolutionary algorithm
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Podaci o prilogu
1253-1259.
2013.
objavljeno
Podaci o matičnoj publikaciji
MIPRO 2013 Int. Conf. Proceedings
Opatija: Institute of Electrical and Electronics Engineers (IEEE)
978-953-233-074-8
Podaci o skupu
MIPRO 2013
predavanje
20.05.2013-24.05.2013
Opatija, Hrvatska