Iterative Linear Regression Normalization

Parameter Information


Normalization Mode

There are two possible normalization modes available.

Block mode

Block mode selects to traverse the data block by block and performs the normalization within each block. Using this mode data variation between blocks is ignored.

Global Mode

Using this mode all data enters into one global normalization. In this mode the normalization of all data points is influenced by all other data points regardless of block membership.

Standard Deviation Range

On each iteration a linear regression is calculated for log(Cy5) vs. log(Cy3) based on a subset of the data. Initially this subset is the entire data set. On each iteration points which fall outside the number of standard deviations indicated from the regression line are omitted for the next iteration. On each subsequent iteration the R2 is taken until it converges and for each iteration the data set for this regression is reduced by selecting only points which fall within the provided standard deviation range.