中国科学院大连化学物理研究所机构知识库
Advanced  
DICP OpenIR  > 中国科学院大连化学物理研究所  > 期刊论文
题名: Classification and differential metabolite discovery of liver diseases based on plasma metabolic profiling and support vector machines
作者: Lin, Xiaohui2;  Zhang, Yang2;  Ye, Guozhu1;  Li, Xiang1;  Yin, Peiyuan1;  Ruan, Qiang2;  Xu, Guowang1
关键词: Analysis of variance ;  GC-MS ;  Liver diseases ;  Metabonomics ;  Support vector machine
刊名: JOURNAL OF SEPARATION SCIENCE
发表日期: 2011-11-01
DOI: 10.1002/jssc.201100408
卷: 34, 期:21, 页:3029-3036
收录类别: SCI
文章类型: Article
WOS标题词: Science & Technology ;  Physical Sciences
类目[WOS]: Chemistry, Analytical
研究领域[WOS]: Chemistry
英文摘要: Discovery of differential metabolites is the focus of metabonomics study. It has very important applications in pathogenesis and disease classification. The aim of this work is to identify differential metabolites for classifying the patients with hepatocellular carcinoma, cirrhosis and hepatitis based on metabolic profiling data analyzed by gas chromatography-time of flight mass spectrometry. A two-stage feature selection algorithm, F-SVM, combining F-score in analysis of variance and support vector machine (SVM), was applied in discovering discriminative metabolites for three different types of liver diseases. The results show that the accuracy rate of the double cross-validation was 73.68 +/- 2.98%. 22 important differential metabolites selected by F-SVM were identified and related pathophysiological process of liver diseases was set forth. We conclude that F-SVM is quite feasible to be applied in the selection of biologically relevant features in metabonomics.
关键词[WOS]: GAS CHROMATOGRAPHY/MASS SPECTROMETRY ;  PERFORMANCE LIQUID-CHROMATOGRAPHY ;  FLIGHT-MASS-SPECTROMETRY ;  HEPATOCELLULAR-CARCINOMA ;  FEATURE-SELECTION ;  AMINO-ACID ;  GENE-EXPRESSION ;  MICROARRAY DATA ;  HUMAN URINE ;  GC-MS
语种: 英语
WOS记录号: WOS:000297415600014
Citation statistics: 
内容类型: 期刊论文
URI标识: http://cas-ir.dicp.ac.cn/handle/321008/142281
Appears in Collections:中国科学院大连化学物理研究所_期刊论文

Files in This Item:

There are no files associated with this item.


作者单位: 1.Chinese Acad Sci, Dalian Inst Chem Phys, CAS Key Lab Separat Sci Analyt Chem, Dalian 116023, Peoples R China
2.Dalian Univ Technol, Sch Comp Sci & Technol, Dalian, Peoples R China

Recommended Citation:
Lin, Xiaohui,Zhang, Yang,Ye, Guozhu,et al. Classification and differential metabolite discovery of liver diseases based on plasma metabolic profiling and support vector machines[J]. JOURNAL OF SEPARATION SCIENCE,2011,34(21):3029-3036.
Service
 Recommend this item
 Sava as my favorate item
 Show this item's statistics
 Export Endnote File
Google Scholar
 Similar articles in Google Scholar
 [Lin, Xiaohui]'s Articles
 [Zhang, Yang]'s Articles
 [Ye, Guozhu]'s Articles
CSDL cross search
 Similar articles in CSDL Cross Search
 [Lin, Xiaohui]‘s Articles
 [Zhang, Yang]‘s Articles
 [Ye, Guozhu]‘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!
Powered by CSpace