1. The division of more than one data set by a shared Variable to remove the effects of that variable from the data. By bringing the data to a common scale, data originating from different scales can be properly compared.

3. The adjustment of experimental data to remove variation from background noise and account for differences from technical artifacts (for example, assay or Microarray chip-specific differences)