甲型流感病毒核蛋白基因的语言分析

A. Skourikhine, T. Burr
{"title":"甲型流感病毒核蛋白基因的语言分析","authors":"A. Skourikhine, T. Burr","doi":"10.1109/BIBE.2000.889607","DOIUrl":null,"url":null,"abstract":"Applies a linguistic analysis method (N-grams) to classify nucleotide and amino acid sequences of the nucleoprotein (NP) gene of the influenza A virus isolated from three hosts and several geographic regions. We considered letter frequency (1-grams), letter-pairs' frequency (2-grams) and triplets' frequency (3-grams). Nearest-neighbor classifiers and decision-tree classifiers based on 1-, 2- and 3-grams were constructed for NP nucleotide and amino acid strains, and their classification efficiencies were compared with the groupings obtained using phylogenetic analysis. Our results show that disregarding positional information for NP can provide almost the same high level of classification accuracy as alternative, more complex classification techniques that use positional information.","PeriodicalId":196846,"journal":{"name":"Proceedings IEEE International Symposium on Bio-Informatics and Biomedical Engineering","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2000-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Linguistic analysis of the nucleoprotein gene of influenza A virus\",\"authors\":\"A. Skourikhine, T. Burr\",\"doi\":\"10.1109/BIBE.2000.889607\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Applies a linguistic analysis method (N-grams) to classify nucleotide and amino acid sequences of the nucleoprotein (NP) gene of the influenza A virus isolated from three hosts and several geographic regions. We considered letter frequency (1-grams), letter-pairs' frequency (2-grams) and triplets' frequency (3-grams). Nearest-neighbor classifiers and decision-tree classifiers based on 1-, 2- and 3-grams were constructed for NP nucleotide and amino acid strains, and their classification efficiencies were compared with the groupings obtained using phylogenetic analysis. Our results show that disregarding positional information for NP can provide almost the same high level of classification accuracy as alternative, more complex classification techniques that use positional information.\",\"PeriodicalId\":196846,\"journal\":{\"name\":\"Proceedings IEEE International Symposium on Bio-Informatics and Biomedical Engineering\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2000-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings IEEE International Symposium on Bio-Informatics and Biomedical Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/BIBE.2000.889607\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings IEEE International Symposium on Bio-Informatics and Biomedical Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BIBE.2000.889607","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

应用语言分析方法(N-grams)对从三个宿主和几个地理区域分离的甲型流感病毒核蛋白(NP)基因的核苷酸和氨基酸序列进行分类。我们考虑了字母频率(1克)、字母对频率(2克)和三联体频率(3克)。构建了基于1-、2-和3-g的NP核苷酸和氨基酸菌株最近邻分类器和决策树分类器,并将其分类效率与系统发育分析结果进行了比较。我们的研究结果表明,忽略NP的位置信息可以提供与使用位置信息的其他更复杂的分类技术几乎相同的高分类精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Linguistic analysis of the nucleoprotein gene of influenza A virus
Applies a linguistic analysis method (N-grams) to classify nucleotide and amino acid sequences of the nucleoprotein (NP) gene of the influenza A virus isolated from three hosts and several geographic regions. We considered letter frequency (1-grams), letter-pairs' frequency (2-grams) and triplets' frequency (3-grams). Nearest-neighbor classifiers and decision-tree classifiers based on 1-, 2- and 3-grams were constructed for NP nucleotide and amino acid strains, and their classification efficiencies were compared with the groupings obtained using phylogenetic analysis. Our results show that disregarding positional information for NP can provide almost the same high level of classification accuracy as alternative, more complex classification techniques that use positional information.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
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