title: Using biplots to interpret gene expression patterns in plants.
abstract: 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.
authors.affiliation: CSIRO Plant Industry, Long Pocket Laboratories, 120 Meiers Rd, Indooroopilly 4068, Australia. scott.chapman@csiro.au
authors.forename: Scott
authors.initials: S
authors.lastname: Chapman
authors.forename: Peer
authors.initials: P
authors.lastname: Schenk
authors.forename: Kemal
authors.initials: K
authors.lastname: Kazan
authors.forename: John
authors.initials: J
authors.lastname: Manners
mesh_terms: 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