Experimental design for gene microarray experiments and differential expression analysis

被引：0

作者：

Bobashev, GV ^{[1
]}

Das, S ^{[1
]}

Das, A ^{[1
]}

机构：

[1] RTI, Div Stat Res, Res Triangle Pk, NC USA

来源：

METHODS OF MICROARRAY DATA ANALYSIS II | 2002年

关键词：

genomics; microarray; experimental design; differential expression; normalization; data quality;

D O I：

10.1007/0-306-47598-7_3

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：

Advances in microarray technology open new challenges in data collection, analysis and interpretation, In this review paper, we focus on issues related to obtaining trustworthy normalized data and results of differential expression analysis. In particular, we briefly summarize discussions on sources of biological and technological variation, experimental design, design of arrays, normalization and error models, differential expression and multiple comparison issues. These issues remain major bottlenecks to developing standards and obtaining useful and applicable results of future analysis such as cluster analysis, network modeling, etc.

引用

页码：23 / 41

页数：19

共 48 条

[31] Improved statistical inference from DNA microarray data using analysis of variance and a Bayesian statistical framework -: Analysis of global gene expression in Escherichia coli K12 [J].