A Review of Data Mining Optimization Techniques for Bioinformatics Applications

Preeti Thareja; Rajender Singh Chhillar

doi:https://doi.org/10.14445/22315381/IJETT-V68I10P210

Research Article | Open Access | Download PDF

Volume 68 | Issue 10 | Year 2020 | Article Id. IJETT-V68I10P210 | DOI : https://doi.org/10.14445/22315381/IJETT-V68I10P210

A Review of Data Mining Optimization Techniques for Bioinformatics Applications

Preeti Thareja, Rajender Singh Chhillar

Citation :

Preeti Thareja, Rajender Singh Chhillar, "A Review of Data Mining Optimization Techniques for Bioinformatics Applications," International Journal of Engineering Trends and Technology (IJETT), vol. 68, no. 10, pp. 58-62, 2020. Crossref, https://doi.org/10.14445/22315381/IJETT-V68I10P210

Abstract

Geneticists are scaling up their attempts by using a range of investigational and genomics methodologies to understand biological functions. It has ended in a torrent of biomedical and clinical data, that can be daunting for scientists to manage with no adequate resources for information managing and examing, particularly when there is a lack of practice or coding, statistical and simulation expertise. Custom analytics tools have, therefore become highly essential in bioinformatics and can help speed up the research process. This paper provides a comprehensive overview of data mining techniques, methods of optimization and the evolving state of the bioinformatics industry in India.

Keywords

Bioinformatics, Data Mining, Optimization, Validation Metrics, India.

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