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One expectation is that there are large numbers of proteins in the system to minimize random reaction fluctuations.
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When necessary, data stacking was used to minimize random noise.
The number of features was selected to maximize AUC and minimize random variation in the model.
For each staining three sections of each biopsy were analyzed to minimize random variation.
All skin biopsies were analyzed in triplicate to minimize random variation.
To minimize random gene expression variations, three biopsies per individual were used for microarray analysis on average (Table 1).
And, in the context of our analysis, do we not minimize random effects by centering all data?
Removing these participants from the analysis was legitimate to avoid bias and to minimize random error [ 94, 121].
To minimize random errors, we calculated and used the cumulative average of rice consumption during follow-up.
All sample DNAs were subjected to one mPCR pre-amplification reaction using a single 96-well plate to minimize reaction to reaction variation.
Because HRM compares amplicons from independent PCR reactions, it is essential to standardize the quantity of DNA used in order to minimize reaction-to-reaction variability.
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