A Review of Data Mining Optimization Techniques for Bioinformatics Applications
|International Journal of Engineering Trends and Technology (IJETT)||
|© 2020 by IJETT Journal|
|Year of Publication : 2020|
|Authors : Preeti Thareja, Rajender Singh Chhillar
|DOI : 10.14445/22315381/IJETT-V68I10P210|
MLA Style: Preeti Thareja, Rajender Singh Chhillar "A Review of Data Mining Optimization Techniques for Bioinformatics Applications" International Journal of Engineering Trends and Technology 68.10(2020):58-62.
APA Style:Preeti Thareja, Rajender Singh Chhillar. A Review of Data Mining Optimization Techniques for Bioinformatics Applications International Journal of Engineering Trends and Technology, 68(10),58-62.
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.
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