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The mean expression value of all expressed miRNAs in a given sample was used for further normalization [ 12].
The global mean expression value of all expressed miRNAs in a given samples was used as the normalisation factor in this study [ 48].
By using the mean expression value of all expressed miRNAs, we identified the most stable candidate reference genes for subsequent validation.
Results were analysed using ExpressionSuite software with the global mean expression value of all expressed miRNAs in a givensample used as the normalisation factor.
A robust method using the mean expression value was used to identify the most stably expressed miRNAs: let-7a, miR-26a, miR-345, miR-425 and miR-454.
After data normalization using the mean expression value of all miRs detectable in the respective samples, 60 miRs showed a down-regulation and 33 miRs an upregulation of at least threefold after the treatment.
The mean expression value stability as normalizer was confirmed by geNorm analysis [23].
There were 726 arrays with mean expression value more than 3 standard deviations away from the mean of trimmed means.
Li,k is obtained by calculating the mean expression value observed in MPk for the given sample, si.
Furthermore, we collapsed the matched clones representing the same gene by their mean expression value (Figure 1A).
Expression values for each sample were median scaled and the mean expression value was established over the three replicates.
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