Using biplots to interpret gene expression patterns in plants
Open Access
- 1 January 2002
- journal article
- research article
- Published by Oxford University Press (OUP) in Bioinformatics
- Vol. 18 (1) , 202-204
- https://doi.org/10.1093/bioinformatics/18.1.202
Abstract
Summary: 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.auKeywords
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