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Articles

Gene Expression Data Clustering Using Variance-based Harmony Search Algorithm

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Pages 641-652 | Published online: 11 Apr 2018
 

ABSTRACT

The advancement in microarray technology has led to a flare-up of gene expression data, thus giving rise to need of efficient technique to analyze these massive data-sets. Among the existing techniques, clustering is a well-known technique used for analysis of microarray data. In this paper, a novel metaheuristic clustering approach for analysis of gene expression is proposed. A variance-based harmony search algorithm is used as an underlying metaheuristic algorithm. The performance of the proposed approach has been tested on 6 real-life data-sets and compared with 12 well-known clustering techniques. The experimental results reveal that the proposed technique outperforms the other existing techniques. The statistical and biological significance tests have also been carried out to demonstrate the superiority of the proposed technique.

DISCLOSURE STATEMENT

No potential conflict of interest was reported by the authors.

Additional information

Notes on contributors

Vijay Kumar

Vijay Kumar received the BTech degree from MM Engineering College, Mullana. He received MTech degree from Guru Jambheshwer University of Science and Technology, Hisar. He received PhD degree from National Institute of Technology, Kurukshetra. He is currently working as assistant professor at Thapar University, Patiala, Punjab, India. He has more than 10 years of teaching and research experience. He has more than 52 research papers in international journals, book chapters, and conference proceedings. His main research focuses on soft computing, image processing, data clustering, and multi-objective optimization.

Corresponding author. E-mail: [email protected]

Dinesh Kumar

Dinesh Kumar received the BTech and MTech degrees from National Institute of Technology (formerly REC), Kurukshetra. He received PhD degree from GGS Indraprastha University, Delhi. He is currently working as professor at Guru Jambheshwer University of Science and Technology, Hisar, Haryana, India. He has more than 29 years of teaching and research experience. He has more than 85 research papers in international journals, book chapters, and conference proceedings. He has delivered expert talks in workshops and refresher courses and chaired technical sessions in national and international conferences. He is on the panel of reviewers of IEEE, Elsevier, and Springer journals. His areas of interest are image processing, pattern recognition, soft computing, and data mining.

E-mail: [email protected]

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