Sentence examples for normalization variability from inspiring English sources

To facilitate comparisons and reduce normalization variability, the first five of the 4 × 44 K slides groups were sequentially rotated so that 4 animals in all 5 groups were evaluated.

Post-amplification normalization decreases variability in genome coverage resulting from the MDA reaction, and represents a useful method for increasing sequencing efficiency of single-cell genomics projects.

After normalization, replicate variability was assessed (Additional file 13B).

The lack of impairment in regularity is in contrast to reports on mouse models of episodic ataxia type 2 (EA-2), in which PC firing becomes more variable and normalization of this variability reduces ataxic behavioral symptoms (24).

For the most part, normalization reduces the variability of field degradation rates measured under extreme conditions of temperature and moisture content.

Some have found that this normalization actually increased variability and was unhelpful [8, 52, 53], possibly because of the noise introduced by the glucose assay.

Data presented here and elsewhere [14] clearly demonstrate that whether statistically significant differences between study groups are present or absent can depend on which reference gene is used for normalization even when variability in reference gene expression is marginal.

In order to measure accurate changes in relative gene expression and monitor intersample variability, normalization to endogenous control genes that do not change in relative expression is commonly used with qRT-PCR determinations.

T-quantile normalization reduces the variability between the data distributions of individual microarrays, resulting in ROC curves that are more comparable in both shape and AUC.

Although the abundance of 18S RNA from each tissue was not significantly different, the normalization process increased variability of gene expression across three tissues.

To define the effects of normalization on the variability the spikes' signal data were analyzed by ANOVA (Table 3, "After normalization") and compared to those obtained in the absence of normalization ("Before normalization").