Using biplots to interpret gene expression patterns in plants.
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.
Chapman
Scott
S
CSIRO Plant Industry, Long Pocket Laboratories, 120 Meiers Rd, Indooroopilly 4068, Australia. scott.chapman@csiro.au
Schenk
Peer
P
Kazan
Kemal
K
Manners
John
J
D019295:Computational Biology; D020869:Gene Expression Profiling / Q000706:statistics & numerical data*; D017343:Genes, Plant; D020407:Internet; D005810:Multigene Family; D020411:Oligonucleotide Array Sequence Analysis / Q000706:statistics & numerical data; D010944:Plants / Q000235:genetics*; D025341:Principal Component Analysis