Sentence examples for normalised across from inspiring English sources

Exact(7)

Microarray data were quantile normalised across all arrays.

Since the internal standard is normalised across all the gels, separation of inter-gel experimental variation from biological variation is possible [ 11, 102].

Prior to assessing differential expression, data were first normalised across libraries using the trimmed mean of M-values normalization method [ 25].

These values were then normalised across pools to identify deviations in relative coverage in subset of pools in specific windows, which could result from the presence of copy number variation in a particular region.

Since different sites had microstimulation sessions of different lengths, this area was normalised across sites by division by the total number of trials in the microstimulation session at each site.

The remainder were normalised within each array using printtiploess, and subsequently normalised across arrays using quantile normalisation.

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Similar(5)

Each array was normalised individually, followed by normalisation across all arrays to allow comparison.

The normalised biomass across all treatments was significantly different between harvests (paired t test, P < 0.001); therefore, the normalised aboveground biomass data from the two harvests were analysed individually.

Figure 3 shows the normalised profiles across the fluorescent target, for the longitudinal and lateral directions, for the images reconstructed using Tikhonov regularisation and our method with the edge-preserving function that returned the highest PSNR value.

We intersected those genes with those in our own data set, and calculated TMM library sizes, CPM and loess normalised data across 10,580 retained genes from all three species jointly.

Héraud-Bousquet et al. [ 30] mentioned that the maximum normalised weight across the imputed datasets corresponds to the imputed dataset with the minimum sum of the imputed values when δ is positive (δ > 0), or the maximum sum of the imputed values when δ is negative (δ < 0).

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