Sentence examples for because the original data from inspiring English sources

The data from the receiver needs to be inverted back because the original data was inverted in order to save power.

However, in most cases, because the original data are sufficiently noisy to mask the significance of any two-factor interaction we need to add (fewer) runs that give the maximum amount of information for this purpose.

The independence and reliability of risk assessment procedures have been contested not only because they have often been carried out by the same multinational corporations producing the GMOs under evaluation but also because the original data, for commercial reasons, have not been released to the academic community[3].

Because the original data shows a non-significant effect, we will not be powering this replication to detect an effect.

We did not stratify groups by first or recurrent in-stent restenosis because the original data did not allow a clear identification of such variants.

Because the original data come from only twelve animals, the models we computed are probably not robust enough to be employed in a real surgery scenario.

Additionally, this is a concern because while the original data 240 number of samples were used in PAM clustering with 50 clusters, the revisited Nagano et al. 2012 data had only 52 RNA samples (that were averages across replicates) but 50 clusters was chosen for this data set as well.

The University of Amsterdam, where Stapel did his Ph.D., has apparently not been able to determine whether his thesis was fraudulent or not, in part because some of the original data records were destroyed.

Using kernel methods is an elegant and versatile strategy because it decouples the original data from the machine learning algorithms by using a representation of the data as a kernel matrix.

Because those of the original data were consistently higher throughout the full range of CRs, the correlation was not restricted to a small number of genes, but was a global character.

Penalized regression approaches can be interpreted much the same as multiple linear regression because they preserve the original data; overfitting is avoided by incorporating a 'regularization parameter' that penalizes the likelihood function according to the number of terms in the model.