Characteristics and Validation Techniques for PCA-Based Gene-Expression Signatures

Figure 2

Validation plot for Gender-29 signature applied to DC dataset. The probesets in the Gender-29 signature show a coherent behavior when applied to the DC dataset (a). Furthermore, the PCA model is robust, with a PC1/PC2 ratio of 4.57 (b), and is unique (c). The Gender-29 signature describes gender difference, since the positive (female) probesets are positive in the PCA loadings and the male-specific probesets are negative (d).

(a)

(b)

(c)

(d)