The methods used in background correction is based on the assumption
that the background effect is additive, i.e. the observed signal
is a sum of a background signal and a true signal, . This assumption
is a simplification, hence it is believed that to do
background correction on arrays introduces noise instead of
removing it. Better routines, and technology in microarray experiments
leads to less noisy data, and this maybe removes the need for background
correction [2].