Triclustering of gene expression microarray data using a hybrid bio-inspired approach
by R. Balamurugan; Pushkar Nahar; Suyash Agarwal; S.P. Raja
International Journal of Computational Biology and Drug Design (IJCBDD), Vol. 15, No. 5, 2023

Abstract: The triclustering of microarray genes contains a subset of genes that carry information about the behaviour of these genes under specific conditions over specific periods. In this paper, we present a meta-heuristic technique that is a hybrid cuckoo search algorithm used to solve the computationally intensive problem. In general, cuckoo search approach relies upon the fact that the cuckoo lays its eggs in the nest of host birds; however, if the egg is not identified and knocked down, the cuckoo's eggs are hatched. In this paper, we propose cuckoo search with harmony search for triclustering genes. In the experimental results on homo sapiens dataset, the proposed method yielded 0.12206 statistical difference from background. Moreover, this algorithm was evaluated over certain parameters and the experimental results outperformed other existing algorithms.

Online publication date: Wed, 04-Oct-2023

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