This function normalize R and I values and fit the value of Cy5
from his argument. In this function the normalize algorithm will be
applied to all observations to get the lowess factor and then fit
Cy5 with this factor. The observations. The observations with values
R = 0 are deleted because they have no change in their expression levels.
Usage
global.norm(mySpot)
Arguments
mySpot
A spot object
Value
A new spot object but normalized, It means with a different Cy5 that is
the result of the fit with the lowess factor.