Z-score is used to mitigate expression variance for the genes expressed at different levels.
Thus, the employed strategy proved successful for creating and selecting a wide range of expression variance.
The 100 miRNAs with highest expression variance were selected.
RBC explained less than 20% of gene expression variance (Figure S1B).
Indeed, some miRNAs demonstrate expression variance over several orders of magnitude.
Expression variance was log transformed before calculating the cubic spline residuals.
Finally, traditional approaches to gene expression analysis suggested a possible mechanism for the changes in gene expression variance.
The raw data were quantile-normalized as a group and filtered to remove probes with low expression variance across studies.
There are 524 genes (out of 4217 in total, 12%) with total expression variance greater than that of Lrp.
This showed that differences between the two accessions was a greater source of gene expression variance than treatment effect (Figure 2)[40].
To statistically control for possible confounds related to scan batches in our analysis of gene expression variance, batch number was entered into an analysis of covariance.
