Feature list methods → Normalization → Linear normalizer
Linear normalizer divides the height (or area) of each feature in the feature list by a normalization factor, chosen according to the "Normalization type" parameter.
Each column of the feature list is normalized separately. In other words, normalization factor is determined independently for each raw data file.
Different normalization factors can be applied:
Average height (or area) of all peaks in the column is calculated and used as the normalization factor
Average squared intensity
Same as Average intensity, but values are squared before calculating the average
Maximum peak intensity
Maximum height (or area) in the peak list column is used as the normalization factor
Total raw signal
Sum of the height (or area) of all peaks in the peak list column is used as the normalization factor
Suffix to be added to a processed feature list name
Selection of the normalization factor. Available options:
- Average intensity
- Average squared intensity
- Maximum peak intensity
- Total raw signal
Feature measurement type¶
Selection of either feature height or feature area, which will be used to calculate the normalization factors
Original feature list¶
If REMOVE option is selected, the original feature list is removed, allowing to save memory.