Open AccessUsing biplots to interpret gene expression patterns in plants
Author(s) -
Scott Chapman,
Peer M. Schenk,
Kemal Kazan,
John M. Manners
Publication year - 2002
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/18.1.202
Subject(s) - biplot , expression (computer science) , computational biology , gene expression , biology , computer science , gene , genetics , genotype , programming language
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.
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