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All descriptor values were centered to zero mean and scaled to unit variance.
Subsequently, the remaining descriptors were centered to zero mean and scaled to unit variance with the function PreProcess from the R package camb.
Afterwards, values in each row (corresponding to each mRNA or miRNA) of the two expression datasets were centered to zero, and rows of synonymous probes were averaged to designate a unique miRNA or mRNA.
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Median of ratios was centered to zero experiment wise.
In the MA-plot, majority of the M-values was centered to zero, and a clearly separated group of genes was formed with low M-values (Figure 1).
The data should be centered to zero mean, zero median or zero mode (Supplementary Material).
Prior to model training, all descriptors were centered to have zero mean and scaled to have unit variance using the function PreProcess.
The log2 ratios were centered to a median of zero and segmented using GLAD [ 24].
After segmentation, the log2 ratios were centered to a median of zero by using only normal segments, and the segmentation was repeated.
The log2 ratios were centered to a median of zero, and the resulting log2 ratio values for each probe were segmented by using GLAD in R [ 26].
To facilitate interpretation, impairment measures were centered to have a mean of zero [ 34].
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CEO of Professional Science Editing for Scientists @ prosciediting.com