Naïve Bayes guided Binary Firefly Algorithm for Gene Selection in Cancer Classification
R.R.Rajalaxmi1, E.Gothai2, .R. Thamilselvan3, P.Gokila Bindha4, P.Natesan5
1Dr.R.R.Rajalaxmi, Department of Computer Science and Engineering, Kongu Engineering College, Perunduai, Tamil Nadu, India.
2Dr.E.Gothai, Department of Computer Science and Engineering, Kongu Engineering College, Perunduai Tamil Nadu, India.
3Dr.R.Thamilselvan, Department of Computer Science and Engineering, Kongu Engineering College, Perunduai Tamil Nadu, India.
4Ms.P.Gokila Bindha, Department of Computer Science and Engineering, Kongu Engineering College, Perunduai Tamil Nadu, India.
5Dr.P.Natesan, Department of Computer Science and Engineering, Kongu Engineering College, Perunduai , Tamil Nadu, India.
Manuscript received on November 20, 2019. | Revised Manuscript received on November 28, 2019. | Manuscript published on 30 November, 2019. | PP: 7405-7409 | Volume-8 Issue-4, November 2019. | Retrieval Number: D5308118419/2019©BEIESP | DOI: 10.35940/ijrte.D5308.118419
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The bioinformatics research must deal with the analysis of the large volume of data. Disease classification deals with the identification of relevant genes in almost all gene expression analyses, where researchers attempt to select a minimum number of genes with exceptional performance. The gene selection process mainly selects significant genes related to the disease. This work aims to accomplish relevant genes from large volume of candidate genes that help to identify cancers. In the proposed work, Binary Firefly Algorithm (BFA) helps to identify related genes using the Naive Bayes classifier. Based on the experimental results, Naïve Bayes guided Binary Firefly Algorithm (NBBFA) provided high accuracy with fewer genes.
Keywords: Microarray data; Gene Selection; Naïve Bayes classification; Binary Firefly Algorithm.
Scope of the Article: Classification.