Your English writing platform
Discover LudwigSuggestions(1)
Exact(1)
All of the variation among Tp2 alleles in the locus was found to exist within each population, with none of the variation in the dataset attributable to differences between the populations (ΦPT = 0).
Similar(59)
Importantly, quite a few of the targets were detected only in the protein datasets, attributable to regulation by translational suppression.
This result shows that the spatial signal in the dataset is attributable to the rodent-associated isolates.
However it is noteworthy that the majority of the variance in the MAQC dataset was attributable to the intra-chip (inter-array) level and this is the only dataset, for which variance analyses were performed, in which this phenomenon holds.
The differences between datasets are attributable in part to the inevitable bias in the Stakeholder horse location dataset and in part to inaccuracies in the NED and could have an impact on future studies which attempt to model disease spread at different geographical resolutions.
The uncertainty (U) coefficient of determination (R2) is the proportion of variation (uncertainty) in the dataset that is attributable to the logistic regression model.
The observed separation along the second principal component indicates that much of the variation in the datasets may be attributable to systematic artifacts from the technologies and not from the transcriptional variations.
PCA showed that the largest percentage of variability within the dataset (58.2%) was attributable to treatment effect.
In our analysis, we generated 1000 samples from the original dataset, calculated the population attributable fractions for each sample, and calculated the 95% confidence interval.
We note that the apparent weakness of the "myogenin 2" ChIP dataset is most likely attributable to undersequencing and would be elevated to high-quality status if sequenced deeper; undersequencing is one possible reason for suboptimal quality metrics (A. Kundaje et al., unpublished data).
With the negative interaction pairs, there seems to be more variability between the datasets, which may be attributable to the fact that we used here the fixed QMA parameters and scoring functions chosen for positive interactions for illustration purposes.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com