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Bibliographic record number: 640239

Journal

Authors: Komlen, Danko; Jakobović, Domagoj
Title: Investigation of coevolutionary approach in gene regulatory network inference
( Investigation of coevolutionary approach in gene regulatory network inference )
Source: MIPRO 2013 Int. Conf. ProceedingsOpatija : IEEE , 2013. 1253-1259 (ISBN: 978-953-233-074-8).
Meeting: MIPRO 2013
Location and date: Opatija, Hrvatska, 20-24.05.2013.
Keywords: gene regulatory network; evolutionary algorithm
( gene regulatory network; evolutionary algorithm )
Abstract:
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.
Type of meeting: Predavanje
Type of presentation in a journal: Full-text (1500 words and more)
Type of peer-review: International peer-review
Project / theme: 036-0362980-1921
Original language: eng
Category: Znanstveni
Research fields:
Computer science
Full paper text: 640239.clanak.pdf (tekst priložen 30. Kol. 2013. u 17:53 sati)
Contrib. to CROSBI by: Domagoj Jakobović (domagoj.jakobovic@fer.hr), 30. Kol. 2013. u 17:53 sati



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