在随机投影空间中寻找基因组序列基序的期望最大化

Aniruddha Maiti, A. Mukherjee
{"title":"在随机投影空间中寻找基因组序列基序的期望最大化","authors":"Aniruddha Maiti, A. Mukherjee","doi":"10.1109/ICECI.2014.6767364","DOIUrl":null,"url":null,"abstract":"Expectation Maximization (EM) based techniques are popular in motif finding applications. This work attempts to use a variant of Expectation Maximization Technique in order to reduce the complexity. The iterations of EM are performed in projected spaces to reduce the computation time.","PeriodicalId":315219,"journal":{"name":"International Conference on Electronics, Communication and Instrumentation (ICECI)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Expectation maximization in random projected spaces to find motifs in genomic sequences\",\"authors\":\"Aniruddha Maiti, A. Mukherjee\",\"doi\":\"10.1109/ICECI.2014.6767364\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Expectation Maximization (EM) based techniques are popular in motif finding applications. This work attempts to use a variant of Expectation Maximization Technique in order to reduce the complexity. The iterations of EM are performed in projected spaces to reduce the computation time.\",\"PeriodicalId\":315219,\"journal\":{\"name\":\"International Conference on Electronics, Communication and Instrumentation (ICECI)\",\"volume\":\"24 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-03-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Conference on Electronics, Communication and Instrumentation (ICECI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICECI.2014.6767364\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Electronics, Communication and Instrumentation (ICECI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICECI.2014.6767364","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

基于期望最大化(EM)的技术在基序查找应用中很受欢迎。本工作尝试使用期望最大化技术的一种变体,以降低复杂性。EM的迭代在投影空间中进行,以减少计算时间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Expectation maximization in random projected spaces to find motifs in genomic sequences
Expectation Maximization (EM) based techniques are popular in motif finding applications. This work attempts to use a variant of Expectation Maximization Technique in order to reduce the complexity. The iterations of EM are performed in projected spaces to reduce the computation time.
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
期刊最新文献
Analysis of conductivity effects in 2D electrical tomography systems: a simulation study Design of missile autopilot using backstepping controller Performance enhancement of object shape classification by coupling tactile sensing with EEG Facial expression and EEG signal based classification of emotion Performance of an IDS in an Adhoc Network under Black Hole and Gray Hole attacks
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1