Using biplots to interpret gene expression patterns in plants

被引：49

作者：

Chapman, S

Schenk, P

Kazan, K

Manners, J

机构：

[1] CSIRO Plant Ind, Long Pocket Labs, Indooroopilly, Qld 4068, Australia

[2] Univ Queensland, Cooperat Res Ctr Tropical Plant Protect, Brisbane, Qld 4072, Australia

来源：

BIOINFORMATICS | 2002年 / 18卷 / 01期

关键词：

D O I：

10.1093/bioinformatics/18.1.202

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

Sum: Plant biologists in fields of ecology, evolution, genetics and breeding frequently use multivariate methods. This paper illustrates Principal Component Analysis (PCA) and Gabriel's biplot as applied to microarray expression data from plant pathology experiments. Availability: An example program in the publicly distributed statistical language R is available from the web site (www.tpp.uq.edu.au) and by e-mail from the contact. Contact: scott.chapman@csiro.au.

引用

收藏

页码：202 / 204

页数：3

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