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Because of heterogeneity and possible unmeasured variance at the study level a random-effects model was used to obtain all pooled estimates, as this model interprets the available data with more caution and uses broad confidence intervals.
This model interprets the regulatory mechanism as a bipartite network and the expression of gene can be considered as a direct result from TF activity associated with related regulation strength.
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Both authors worked on approving the model, interpreting results and discussion.
NT and PH conceived of the study, designed the model, interpreted the results and revised the manuscript.
(My Neff-based model interprets this as sales growth needing to be at least 7% per year, or at least 70% of EPS growth).
Similar to the effect of sequence conservation, the A&B model interprets this finding as genes with high connectivity may have low genetic buffering.
We found this is not the case, suggesting that the positional information provided by these regulators is specific for the eve 2 enhancer and that our model interprets this information accurately.
The proposed model interprets satisfactorily the experimental results.
The more widely-accepted model interprets the crisis as a still-born magmatic event (Feuillard et al. 1983).
A simple mechanical model interprets these results in terms of mechanical connections between myocytes and nonmuscle cells.
Therefore, in the approximations, the noise scales inversely to the square root of neuron density in this model, which interpreted in this way can also be considered a macroscopic fixed parameter and chosen independently of the approximating sequence.
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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