Sentence examples for differences in the normalization from inspiring English sources
However, EdgeR predicted differentials were not statistically significant in RT-qPCR, which is likely a result of differences in the normalization for the two methods.
However, despite that there were no differences in the normalization pipeline or in the use of confounders between the Qatari family sample and the TwinsUK cohort, we still observed significant effect heterogeneity.
Some heterogeneity of effects between our results and what was reported in the original papers might be expected, as they could be driven by potential differences in the normalization pipeline of the array data or by the correction of the methylation values using different confounders.
Notably, our analysis with the statistic σ μ essentially repeats the outcome of the work by Golubkov et al. with respect to the pathways (Table 3) and regulated genes (the overlap between the two lists includes 176 genes out of 200 and 202 genes respectively); thus, the differences in the normalization had a small effect.
We can compare the AIC and ABIC values among the MLE based models and among the Bayesian models, respectively, although we cannot directly compare the AIC value with ABIC values here because we did not adjust the difference in the normalization factors between AIC and ABIC in the considered models.
This minimized introducing additional bias due to differences in the preprocessing (normalization and background correction) and differential expression analysis.
Discovering library specific functional terms, which would be expected to be included in similar ranks in both transcriptomes, reflects differences in the efficiency of normalization.
Differences between RT-qPCR and microarray experiments occur for several reasons, including the fact that different probes are used for the microarray and RT-qPCR experiments (which can capture differential expression in splice variants), differences in the methods for normalization of expression data and possible false-positive expression changes.
This inconsistency could have been attributed to several factors: the differences in the efficiencies of reverse transcriptase, the low copy of an mRNA transcript and the different priming methods or the fundamental differences in data normalization procedures between microarray and Northern hybridizations or sqRT-PCR.
The simple Euclidean distance measure is sensitive to differences in scaling (normalization) between the images.
