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非负矩阵分解及其在基因表达数据分析中的应用
引用本文:曹胜玉,刘来福.非负矩阵分解及其在基因表达数据分析中的应用[J].北京师范大学学报(自然科学版),2007,43(1):30-33.
作者姓名:曹胜玉  刘来福
作者单位:北京师范大学数学科学学院,100875,北京
摘    要:介绍非负矩阵分解的基本原理及其在生物信息学中基因表达数据分析中的应用.并将该方法用于一组白血病微阵列数据的聚类,得到了新的结果.

关 键 词:非负矩阵分解  生物信息学  基因芯片  DNA微阵列
修稿时间:2006-09-05

NON-NEGATIVE MATRIX FACTORIZATION AND ITS APPLICATIONS TO GENE EXPRESSION DATA ANALYSIS
Cao Shengyu,Liu Laifu.NON-NEGATIVE MATRIX FACTORIZATION AND ITS APPLICATIONS TO GENE EXPRESSION DATA ANALYSIS[J].Journal of Beijing Normal University(Natural Science),2007,43(1):30-33.
Authors:Cao Shengyu  Liu Laifu
Institution:School of Mathematical Sciences, Beijing Normal University, 100875, Beijing, China
Abstract:Non-negative matrix factorization(NMF) is a data analysis novelty rappidly developping in recent years.As an understandable and easily executing method,NMF has been widely used in a variaty of areas.The basic mathematical theory of NMF and its applications to gene expression data analysis are briefly introduced,then it is used to the clustering of a leukaemia microarray data set and some new results are obtained.
Keywords:NMF  bioinformatics  Gene-Chip  DNA microarray
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