Figure 3From: Principal components analysis based methodology to identify differentially expressed genes in time-course microarray dataCross-validation results for wild-type yeast cell-cycle dataset. The RMSECV takes local minima at number of PCs 4, 8 and 11. The first 4 Principal components (PCs) captured almost 80% of the variance in the data and are used to model this dataset.Back to article page