A Detailed Survey on Data Mining Based Optimization Schemes for Bioinformatics Applications

Author:

Thareja Preeti,Chhillar Rajender Singh

Abstract

In computational science paradigm, bioinformatics and the data mining approach afford specific and advocating research and development schemes. The technical science of mining, managing, and coordinating of resources retrieved from the biological sequences is known as bioinformatics. Some of the current developments, for example, genome-sequencing initiatives, micro-arrays, proteomics, functional, and the essential genomics are ought to be strapped the frontlines of human acquaintance. In recent times, the data analytics and artificial learning methods have stayed progressing in paces. This has emerged through the high-impact applications from promotion to science. The two regions obligate generally been increasing individually; even though scholars have disbursed much exertion on data mining for bioinformatics. This kind of distinctive problem objects to conduit the available gap concerning bioinformatics system and data mining techniques by unstinting exploration assimilating this two. It is believed that the data mining might deliver required tools for enhanced thoughtful of gene expression, drug strategy, and further developing complications in genomics and proteomics. This current survey provides a comprehensive analysis on data mining centered bioinformatics and its applications.

Publisher

The Electrochemical Society

Subject

General Medicine

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Power of Deep Learning Models in Bioinformatics;Advances in Intelligent Systems and Computing;2023

2. The Upsurge of Deep Learning for Disease Prediction in Healthcare;Advances in Intelligent Systems and Computing;2023

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