We identified 33 distinct genes in N. crassa that are believed to be responsive when shifting from sucrose to a poor carbon source (Quinic Acid) for 4 microarray experiment data sets. These 4 data sets were originally obtained from two confocal laser scanners, which made global normalization and thus comparison across all experiments difficult. To solve this problem, we processed each data set independently with background subtraction, logarithmic transformation and normalization. A combination of Ordinary Least Squares fitting (regression) and Least Median Squares fitting was applied to the normalized data to correct for large outliers which would distort the statistical estimates of the response.