This can be used as a normalization method in expression microarray assays. For example, given a two-channel microarray assay, the log ratios of the two channels (M values) can be mean-centered.
A mean centering is a data transformation that takes as input an n-dimensional (real) vector, performs a mean calculation on its components, and subtracts the resulting mean from each component of the input.