Comparison of yeast transcriptome cumulative eigenvalue distributions. From left to right: S. cerevisiae CDC data (162 samples), time-averaged S. cerevisiae CDC data (9 samples), strain-averaged S. cerevisiae CDC data (18 samples), and MA line data (23 samples). Eigenvalues were obtained by SVD of each data set after mean centering. The number of eigenvectors required to explain at least 90% of the total variation in each data set is 56, 5, 10, and 13, respectively.
Simola et al. Genome Biology 2010 11:R105 doi:10.1186/gb-2010-11-10-r105