Figure 1From: The diagnosis of inherited metabolic diseases by microarray gene expression profilingPrincipal component analysis of microarray data. PCA determines the independent axes along which the data exhibits the largest variation. The first ten principal axes/components and their contribution to the overall variance in the data are shown. No single component contributes more than 20% to the overall experimental variation.Back to article page