北京大学医学部机构知识库
Advanced  
IR@PKUHSC  > 北京大学第三临床医学院  > 中医科  > 期刊论文
学科主题: 临床医学
题名:
Identifying Metabolite and Protein Biomarkers in Unstable Angina In-patients by Feature Selection Based Data Mining Method
作者: Shi Cheng-he2; Zhao Hui-hui1; Hou Na3; Chen Jian-xin1; Shi Qi1; Xu Xue-gong1; Wang Juan1; Meng Cheng-long1; Zhao Ling-yan1; Yang Yi1; Wang Wei1
关键词: Biomarker ; Metabolomics ; Proteome ; Feature selection ; Data mining ; Unstable angina
刊名: CHEMICAL RESEARCH IN CHINESE UNIVERSITIES
发表日期: 2011-01-25
卷: 27, 期:1, 页:87-93
收录类别: SCI
文章类型: Article
WOS标题词: Science & Technology
类目[WOS]: Chemistry, Multidisciplinary
研究领域[WOS]: Chemistry
关键词[WOS]: TRADITIONAL CHINESE MEDICINE ; 4(1H)-PYRIDINONE DERIVATIVES ; FATTY-ACIDS ; PLASMA ; 1,5-ANHYDRO-D-GLUCITOL ; DISCOVERY ; FAILURE ; PATTERN ; CONTEXT ; MARKER
英文摘要:

Unstable angina(UA) is the most dangerous type of Coronary Heart Disease(CHD) to cause more and more mortal and morbid world wide. Identification of biomarkers for UA at the level of proteomics and metabolomics is a better avenue to understand the inner mechanism of it. Feature selection based data mining method is better suited to identify biomarkers of UA. In this study, we carried out clinical epidemiology to collect plasmas of UA in-patients and controls. Proteomics and metabolomics data were obtained via two-dimensional difference gel electrophoresis and gas chromatography techniques. We presented a novel computational strategy to select biomarkers as few as possible for UA in the two groups of data. Firstly, decision tree was used to select biomarkers for UA and 3-fold cross validation was used to evaluate computational performances for the three methods. Alternatively, we combined independent t test and classification based data mining method as well as backward elimination technique to select, as few as possible, protein and metabolite biomarkers with best classification performances. By the method, we selected 6 proteins and 5 metabolites for UA. The novel method presented here provides a better insight into the pathology of a disease.

语种: 英语
所属项目编号: 2011CB505106 ; 30902020 ; 200807007 ; 2009ZX09502-018 ; 2008DFA30610
项目资助者: National Basic Research Program of China ; National Natural Science Foundation of China ; Foundation of National Department of Public Benefit Research of China ; Creation Fund for Significant New Drugs of China ; Foundation of International Science and Technology Cooperation of China
WOS记录号: WOS:000287825400019
Citation statistics:
内容类型: 期刊论文
URI标识: http://ir.bjmu.edu.cn/handle/400002259/59136
Appears in Collections:北京大学第三临床医学院_中医科_期刊论文

Files in This Item:

There are no files associated with this item.


作者单位: 1.Beijing Univ Chinese Med, Beijing 100029, Peoples R China
2.Peking Univ, Hosp 3, Dept Tradit Chinese Med, Beijing 100191, Peoples R China
3.Beijing Hosp Tradit Chinese Med, Beijing 100010, Peoples R China

Recommended Citation:
Shi Cheng-he,Zhao Hui-hui,Hou Na,et al. Identifying Metabolite and Protein Biomarkers in Unstable Angina In-patients by Feature Selection Based Data Mining Method[J]. CHEMICAL RESEARCH IN CHINESE UNIVERSITIES,2011,27(1):87-93.
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Shi Cheng-he]'s Articles
[Zhao Hui-hui]'s Articles
[Hou Na]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Shi Cheng-he]‘s Articles
[Zhao Hui-hui]‘s Articles
[Hou Na]‘s Articles
Related Copyright Policies
Null
Social Bookmarking
Add to CiteULike Add to Connotea Add to Del.icio.us Add to Digg Add to Reddit
所有评论 (0)
暂无评论
 
评注功能仅针对注册用户开放,请您登录
您对该条目有什么异议,请填写以下表单,管理员会尽快联系您。
内 容:
Email:  *
单位:
验证码:   刷新
您在IR的使用过程中有什么好的想法或者建议可以反馈给我们。
标 题:
 *
内 容:
Email:  *
验证码:   刷新

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.

 

 

Valid XHTML 1.0!
Copyright © 2007-2017  北京大学医学部 - Feedback
Powered by CSpace