An Efficient Approach in Analysis of DNA Base Calling Using Neural Fuzzy Model.

Q1 Biochemistry, Genetics and Molecular Biology
Advances in Bioinformatics Pub Date : 2017-01-01 Epub Date: 2017-01-31 DOI:10.1155/2017/3686025
Safa A Hameed, Raed I Hamed
{"title":"An Efficient Approach in Analysis of DNA Base Calling Using Neural Fuzzy Model.","authors":"Safa A Hameed,&nbsp;Raed I Hamed","doi":"10.1155/2017/3686025","DOIUrl":null,"url":null,"abstract":"<p><p>This paper presented the issues of true representation and a reliable measure for analyzing the DNA base calling is provided. The method implemented dealt with the data set quality in analyzing DNA sequencing, it is investigating solution of the problem of using Neurofuzzy techniques for predicting the confidence value for each base in DNA base calling regarding collecting the data for each base in DNA, and the simulation model of designing the ANFIS contains three subsystems and main system; obtain the three features from the subsystems and in the main system and use the three features to predict the confidence value for each base. This is achieving effective results with high performance in employment.</p>","PeriodicalId":39059,"journal":{"name":"Advances in Bioinformatics","volume":"2017 ","pages":"3686025"},"PeriodicalIF":0.0000,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1155/2017/3686025","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in Bioinformatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1155/2017/3686025","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2017/1/31 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"Biochemistry, Genetics and Molecular Biology","Score":null,"Total":0}
引用次数: 1

Abstract

This paper presented the issues of true representation and a reliable measure for analyzing the DNA base calling is provided. The method implemented dealt with the data set quality in analyzing DNA sequencing, it is investigating solution of the problem of using Neurofuzzy techniques for predicting the confidence value for each base in DNA base calling regarding collecting the data for each base in DNA, and the simulation model of designing the ANFIS contains three subsystems and main system; obtain the three features from the subsystems and in the main system and use the three features to predict the confidence value for each base. This is achieving effective results with high performance in employment.

Abstract Image

Abstract Image

Abstract Image

一种基于神经模糊模型的DNA碱基调用分析方法。
本文提出了DNA碱基召唤的真实表示问题,并提供了一种可靠的分析方法。所实现的方法处理了DNA测序分析中的数据集质量问题,研究了利用神经模糊技术预测DNA碱基调用中每个碱基的置信度的问题,并设计了ANFIS的仿真模型,该模型包含三个子系统和主系统;从子系统和主系统中获取三个特征,并使用这三个特征来预测每个基的置信度值。这是在就业中取得高绩效的有效结果。
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
Advances in Bioinformatics
Advances in Bioinformatics Biochemistry, Genetics and Molecular Biology-Biochemistry, Genetics and Molecular Biology (miscellaneous)
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信