Gene subset selection using fuzzy statistical dependence technique and binary bat algorithm

IF 16.4 1区化学 Q1 CHEMISTRY, MULTIDISCIPLINARY

Accounts of Chemical Research Pub Date : 2022-01-01 DOI:10.3934/jdg.2022011

M. Mahmoud, Fatima Mahmood Hasan, O. Qasim

引用次数: 0

Abstract

The presence of big data may adversely affect obtaining classification accuracy in many life applications, such as genes dataset, which can contain many unnecessary data in the classification process. In this study, a two-stage mathematical model is proposed through which the features are selected. The first stage relies on the Fuzzy Statistical Dependence (FSD) technique, which is one of the filter techniques, and in the second stage, the Binary Bat Algorithm (BBA) is used, which depends on an appropriate fitness function to select important parameters. The experimental results proved that the proposed algorithm, which we refer to as FSD-BBA, excels over other methods in terms of classification accuracy and the number of influencing genes selected.

查看原文本刊更多论文

采用模糊统计依赖技术和二值蝙蝠算法进行基因子集选择

在许多生命应用中，大数据的存在可能会影响分类精度的获得，如基因数据集，在分类过程中可能包含许多不必要的数据。在本研究中，提出了一个两阶段的数学模型，通过该模型来选择特征。第一阶段采用滤波技术之一的模糊统计依赖(FSD)技术，第二阶段采用二进制蝙蝠算法(BBA)，该算法依赖于合适的适应度函数来选择重要参数。实验结果证明，我们所提出的算法，我们称之为FSD-BBA，在分类精度和选择的影响基因数量方面都优于其他方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Accounts of Chemical Research 化学-化学综合

CiteScore

31.40

自引率

1.10%

发文量

312

审稿时长

2 months

期刊介绍： Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.