五种卵巢癌基因表达数据集的meta分析和网络分析

Hua Dong, Shengjun Hong, Xiaomin Xu, Yanghua Xiao, Li Jin, M. Xiong
{"title":"五种卵巢癌基因表达数据集的meta分析和网络分析","authors":"Hua Dong, Shengjun Hong, Xiaomin Xu, Yanghua Xiao, Li Jin, M. Xiong","doi":"10.1109/CSO.2010.245","DOIUrl":null,"url":null,"abstract":"Ovarian cancer is the fifth leading cause of death from cancer in women and the leading cause of death from gynecological cancer. Here we present a meta-analysis of five gene expression data sets of 432 ovarian cancer and 42 adjacent normal samples in total. We indentified 3 genes: NDN, RNASE4, IGFBP4 were significantly differentially expressed in both five data sets. After combined the dataset by meta-analysis, 3722 genes were significant (p-value","PeriodicalId":427481,"journal":{"name":"2010 Third International Joint Conference on Computational Science and Optimization","volume":"64 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Meta-analysis and Network Analysis of Five Ovarian Cancer Gene Expression Dataset\",\"authors\":\"Hua Dong, Shengjun Hong, Xiaomin Xu, Yanghua Xiao, Li Jin, M. Xiong\",\"doi\":\"10.1109/CSO.2010.245\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Ovarian cancer is the fifth leading cause of death from cancer in women and the leading cause of death from gynecological cancer. Here we present a meta-analysis of five gene expression data sets of 432 ovarian cancer and 42 adjacent normal samples in total. We indentified 3 genes: NDN, RNASE4, IGFBP4 were significantly differentially expressed in both five data sets. After combined the dataset by meta-analysis, 3722 genes were significant (p-value\",\"PeriodicalId\":427481,\"journal\":{\"name\":\"2010 Third International Joint Conference on Computational Science and Optimization\",\"volume\":\"64 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-05-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 Third International Joint Conference on Computational Science and Optimization\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CSO.2010.245\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 Third International Joint Conference on Computational Science and Optimization","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSO.2010.245","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

摘要

卵巢癌是妇女癌症死亡的第五大原因,也是妇科癌症死亡的主要原因。在此,我们对432例卵巢癌和42例相邻正常样本的5个基因表达数据集进行了荟萃分析。我们发现3个基因:NDN, RNASE4, IGFBP4在这5个数据集中有显著差异表达。对数据集进行meta分析后,有3722个基因显著(p值)
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Meta-analysis and Network Analysis of Five Ovarian Cancer Gene Expression Dataset
Ovarian cancer is the fifth leading cause of death from cancer in women and the leading cause of death from gynecological cancer. Here we present a meta-analysis of five gene expression data sets of 432 ovarian cancer and 42 adjacent normal samples in total. We indentified 3 genes: NDN, RNASE4, IGFBP4 were significantly differentially expressed in both five data sets. After combined the dataset by meta-analysis, 3722 genes were significant (p-value
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