Application Of Data Mining In Bioinformatics
Khalid Raza

TL;DR
This paper reviews how data mining techniques are applied to bioinformatics, discussing key concepts, research areas, challenges, and opportunities in integrating these fields for biological data analysis.
Contribution
It provides a comprehensive overview of data mining applications in bioinformatics, emphasizing current challenges and future opportunities.
Findings
Data mining enhances biological data analysis.
Bioinformatics faces challenges like data complexity.
Opportunities include improved disease understanding.
Abstract
This article highlights some of the basic concepts of bioinformatics and data mining. The major research areas of bioinformatics are highlighted. The application of data mining in the domain of bioinformatics is explained. It also highlights some of the current challenges and opportunities of data mining in bioinformatics.
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Taxonomy
TopicsData Mining Algorithms and Applications · Rough Sets and Fuzzy Logic · Machine Learning in Bioinformatics
