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Non-normally distributed variables were log-transformed to normalize the distribution.
For better understanding for readers, based on the average portions of each CU size, we normalize the distribution data using area normalization method.
FRAP levels were distributed normally; 8-iso-PGF levels were log-transformed to normalize the distribution.
After the initial analyses demonstrated that the total hair Hg data were non-normally distributed, a logarithmic transformation of total hair Hg was applied to normalize the distribution data.
Next, quantile normalization was performed on both abundance and activity matrices to normalize the distribution of data across studies.
where Z i is again the partition function that is used to normalize the distribution over the variable x i.
This transformation is used to normalize the distribution of proportional data, which are limited to values between 0 and 1.
In many cases when the query set contains only a small number of sequences or contains only highly related sequences, pseudocounts are added to normalize the distribution reflected in the scoring matrix.
We used a transformed version (HT) to normalize the distribution of values.
Statistical analyses of microbiological data were conducted after log10 transformation of TTC counts to normalize the distribution.
When we averaged A's across subjects, we first converted A' into z-scores using a logit transform to normalize the distribution.
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