Bioinformatics methods for the analysis of expression arrays:: data clustering and information extraction

被引：24

作者：

Tamames, J

Clark, D

Herrero, J

Dopazo, J

Blaschke, C

Fernández, JM

Oliveros, JC

Valencia, A

机构：

[1] CSIC, CNB, Prot Design Grp, E-28049 Madrid, Spain

[2] ALMA Bioinformat, SL, Spain

来源：

JOURNAL OF BIOTECHNOLOGY | 2002年 / 98卷 / 2-3期

关键词：

text analysis; protein function; expression arrays; medline;

D O I：

10.1016/S0168-1656(02)00137-2

中图分类号：

Q81 [生物工程学（生物技术）]; Q93 [微生物学];

学科分类号：

071005 ; 0836 ; 090102 ; 100705 ;

摘要：

Expression arrays facilitate the monitoring of changes in the expression patterns of large collections of genes. The analysis of expression array data has become a computationally-intensive task that requires the development of bioinformatics technology for a number of key stages in the process, such as image analysis, database storage, gene clustering and information extraction. Here, we review the current trends in each of these areas, with particular emphasis on the development of the related technology being carried out within our groups. (C) 2002 Elsevier Science B.V. All rights reserved.

引用

页码：269 / 283

页数：15

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