the eigengenes are eigenvectors to the covariance matrix of the samples. So far we have used data for only two genes to illustrate how PCA works, but what happens when thousands of genes are ...

They need to make sense of the data from the observations themselves. This week we are diving into Principal Component Analysis, PCA, a foundational dimension reduction technique. When you first start ...

For a covariance or correlation matrix, the sum of its eigenvalues equals the trace of the matrix, that is, the sum of the variances of the n y variables for a covariance matrix, and n y for a ...