The Determination of Distinctive Single Nucleotide Polymorphism Sets for the Diagnosis of Beh?et's Disease

Yunus Emre I??k; Yasin G?rmez; Zafer Ayd?nBurcu Bakir-Gungor

首页> 外文期刊>IEEE/ACM transactions on computational biology and bioinformatics >The Determination of Distinctive Single Nucleotide Polymorphism Sets for the Diagnosis of Beh?et's Disease

【24h】

The Determination of Distinctive Single Nucleotide Polymorphism Sets for the Diagnosis of Beh?et's Disease

机译：The Determination of Distinctive Single Nucleotide Polymorphism Sets for the Diagnosis of Beh?et's Disease

获取原文

获取原文并翻译 | 示例

掌桥外文数据库（机构版） >>

开具论文收录证明 >>

文献代查 >>

页面导航

摘要
著录项
相关主题

摘要

Beh?et's Disease (BD) is a multi-system inflammatory disorder in which the etiology remains unclear. The most probable hypothesis is that genetic tendency and environmental factors play roles in the development of BD. In order to find the essential reasons, genetic changes on thousands of genes should be analyzed. Besides, there is a need for extra analysis to find out which genetic factor affects the disease. Machine learning approaches have high potential for extracting the knowledge from genomics and selecting the representative Single Nucleotide Polymorphisms (SNPs) as the most effective features for the clinical diagnosis process. In this study, we have attempted to identify representative SNPs using feature selection methods, incorporating biological information and aimed to develop a machine-learning model for diagnosing Beh?et's disease. By combining biological information and machine learning classifiers, up to 99.64 percent accuracy of disease prediction is achieved using only 13,611 out of 311,459 SNPs. In addition, we revealed the SNPs that are most distinctive by performing repeated feature selection in cross-validation experiments.

著录项

来源
《IEEE/ACM transactions on computational biology and bioinformatics》 |2022年第3期|1909-1918|共10页
作者
Yunus Emre I??k; Yasin G?rmez; Zafer Ayd?nBurcu Bakir-Gungor;
展开▼
作者单位

Department of Management Information Systems, Cumhuriyet University, Sivas, Turkey;

Department of Computer Engineering, Abdullah Gül University, Kayseri, Turkey;

展开▼
收录信息
原文格式 PDF
正文语种英语
中图分类生物信息论;
关键词
Diseases; Feature extraction; Machine learning; Predictive models; Bioinformatics; Support vector machines; Radio frequency;

The Determination of Distinctive Single Nucleotide Polymorphism Sets for the Diagnosis of Beh?et's Disease

摘要

著录项

相关主题

期刊订阅