Artificial neural network classification based on capillary electrophoresis of urinary nucleosides for the clinical diagnosis of tumors

	Artificial neural network classification based on capillary electrophoresis of urinary nucleosides for the clinical diagnosis of tumors
	Zhao, RH ; Xu, GW ; Yue, BF ; Liebich, HM ; Zhang, YK
刊名	journal of chromatography a
	1998-12-18
卷号	828 期号:1-2 页码:489-496
关键词	chemometrics neural networks principal component analysis canonical discriminant analysis nucleosides artificial
英文摘要	nucleosides in human urine have been studied frequently as a possible biomedical marker for cancers, acquired immune deficiency syndrome (aids) and the whole-body turnover of rnas. a capillary electrophoretic method that can quantitatively analyze urinary normal and modified nucleosides in less than 40 min with a good resolution and sufficient sensitivity has been developed. twelve kinds of normal and modified nucleosides were determined in urine samples from 25 healthy persons and 25 cancer patients of 14 kinds of cancers. artificial neural networks have been used as a powerful pattern recognition tool to distinguish cancer patients from healthy persons. the recognition rate for the training set reached to 100% and above 85% of the members in the predicting set were correctly classified. in addition, the neural network technique was compared with methods of the principal component analysis and the canonical discriminant analysis. the results demonstrate that the predictive ability of the artificial neural network is stronger than the others in this study. (c) 1998 published by elsevier science b.v. all rights reserved.
WOS标题词	science & technology ; life sciences & biomedicine ; physical sciences
类目[WOS]	biochemical research methods ; chemistry, analytical
研究领域[WOS]	biochemistry & molecular biology ; chemistry
关键词[WOS]	mass-spectrometry ; monoclonal-antibodies ; pattern-recognition ; oligonucleotides ; excretion ; carcinoma ; cancer ; array
收录类别	ISTP ; SCI
语种	英语
WOS记录号	WOS:000077808500054
公开日期	2015-11-10
内容类型	期刊论文
源URL	[http://159.226.238.44/handle/321008/138517]
专题	大连化学物理研究所_中国科学院大连化学物理研究所
作者单位	1.Chinese Acad Sci, Dalian Inst Chem Phys, Natl Chromatog R&A Ctr, Dalian 116011, Peoples R China 2.Univ Tubingen, Med Klin, D-72076 Tubingen, Germany
推荐引用方式 GB/T 7714	Zhao, RH,Xu, GW,Yue, BF,et al. Artificial neural network classification based on capillary electrophoresis of urinary nucleosides for the clinical diagnosis of tumors[J]. journal of chromatography a,1998,828(1-2):489-496.
APA	Zhao, RH,Xu, GW,Yue, BF,Liebich, HM,&Zhang, YK.(1998).Artificial neural network classification based on capillary electrophoresis of urinary nucleosides for the clinical diagnosis of tumors.journal of chromatography a,828(1-2),489-496.
MLA	Zhao, RH,et al."Artificial neural network classification based on capillary electrophoresis of urinary nucleosides for the clinical diagnosis of tumors".journal of chromatography a 828.1-2(1998):489-496.