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Aretha, though, has an earthiness and rawness in her sound which I truly associate with spirituality.
These numbers reflect the variety of proteins that truly associate with each compartment, and compartment size, but also experimental biases (e.g. the difficulty of biochemically isolating them and thus discovering their protein complement).
Furthermore, we show that our model can account for these confounding factors, thereby clearly differentiating ChIP-seq signals that truly associate with gene expression from those that do not.
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Finally, controlling for confounding in cross-sectional research is often difficult because we cannot be certain whether the potential confounder is a result of the exposure-outcome association or truly associated with the exposure before the outcome develops [ 13].
The correlation of NO2 with the components of the traffic emissions cocktail that promote (assuming the association was causal) or are truly associated with cardiovascular outcomes might also vary across locations.
Only minor proportion of markers in a genome-wide association study is expected to be truly associated with an analysis trait, and a vast majority of the markers may be thought of as realizations under the null hypothesis and can be used to characterize the null distribution of the test statistics.
This is not surprising, as the actual power of each method for a given data set depends on the underlying situation, such as the number of expression probes truly associated with the outcome, the levels of association, etc.
However, the value of this will be limited in settings where there are few truly associated SNPs and/or the case control data supporting associations are weak, i.e. the vast majority of applications.
If homozygosity for α+-thalassemia and RBP levels is truly associated, studies of potential mechanisms behind this association and studies of the relationship between α+-thalassemia and VAD in a population with a lower prevalence of inflammation may be warranted.
For example, from a p-value alone it is difficult to quantify how confident one should be that a given SNP is truly associated with phenotype (e.g. is an association with a p-value of 10−8 more likely to be real or a false positive?).
We show how diverse functional annotations can be efficiently combined to create 'functional signatures' that predict the a priori odds of a variant's association to a trait and how these signatures can be integrated into a standard genome wide scale association analysis, resulting in improved power to detect truly associated variants.
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