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For each sample, the Ct both for the gene of interest and for the housekeeping gene GAPDH were determined to calculate ΔCt,sample (Ct, target gene−Ct, housekeeping gene), thus normalizing the data and correcting for differences in amount and/or quality between the different samples.
If the sample differs in ways that are unobservable to researchers, correcting for differences in observables fails to fully eliminate bias.
After correcting for differences in NPA of TAA, the net hepatic uptake of TAA tended to be lower with starch versus fiber diets.
After correcting for differences in environmental factors, the scientists found that the densities of spotted sea trout, red drum, black drum, common snook, striped mullet and total game fish were "significantly higher" in the unfished areas.
After correcting for differences in school size, both analyses revealed Caltech as the frontrunner.
Some researchers propose correcting for differences in the sample composition for more valid comparisons (Rindermann, 2007; Van Damme et al., 2010), but Martin, Mullis, and Foy (2011) express some concerns regarding adjustments with global correction weights.
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The raw data were corrected for differences using a total lane intensity correction.
Bias correction was applied prior to the analysis to correct for differences in total amounts of proteins across samples.
Images were corrected for differences in timing of slice acquisition followed by rigid body motion correction.
This corrects for differences in urine concentration that affects the results for random specimens.
Functional images were then corrected for differences in slice acquisition timing by resampling all slices to match the first slice.
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