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The log of normalized intensity versus relative concentration (simulating analytical variation) is shown. The normalization algorithm is capable of correcting up to about 10-fold variation. Variation beyond this value cannot be corrected by population normalization and would lead to serious errors and an increase in false positive assignments.
