Fig 4. Principal component analysis (PCA) is used to cluster the conditions with gene expression levels for (a) all genes, (b) 5282 genes that are differentially expressed in at least one of comparisons listed in Table 1.

Each point corresponds to the gene expression pattern generated by an experimental group projected onto the two-dimensional principal component space.