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Because any normalization method used will alter the distribution of read counts, we made separate distribution plots for each normalization method and for the un-normalized count data.
Each normalization strategy makes implicit assumptions about the biology that impacts our interpretation of the data.
For each normalization method, filtering was based on gene variance across arrays.
For each normalization type we performed the calculation either with background subtraction or without background subtraction.
The results of the analysis for dataset II are shown in Figure 2, where SWISS scores were calculated for each normalization method.
For each normalization SOMAmer, its median value was calculated from all samples in the study, and together these median values were used to calculate a scaling factor for each individual sample.
Similar(21)
After each iteration, normalization (Eq. (8)) is performed on P Q,t+1.
These were corrected by each of normalization methods, with QNβ leading to a straight line at zero.
The results of ChIPDiff were used as a baseline to gauge the performance of each different normalization method.
For each array, normalization was applied with the median of the 1614 control probes whose average expression level did not significantly differ between animal groups.
Fluorescent intensities were normalized to the mean expression level in each array and for each element (Lowess normalization).
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