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For each scenario, accuracies of genomic prediction were deterministically derived using the two methods explained before; one method based on selection index theory (Equation 19) and one method based on population parameters (Equation 24).
We compare three methods based on linear extrapolation of historical deforestation emission trends and one method based on a dynamic land-use model.
Three salt extraction methods were tested: two methods based on diffusion processes (water immersion under stationary conditions and under mechanical stirring conditions) and one method based on both diffusive and advective processes (multiple packages of sepiolite).
We adopt three methods based on information contents of GO terms (Resnik [ 23], Schlicker et al. [ 24] and Lin [ 25]) and one method based on the structure of gene ontology (Wang et al. [ 26]) to calculate similarity scores for GO terms, and we use a method in the literature [ 26] to calculate similarity scores for genes (see Methods for details).
We adopt three methods based on information contents of GO terms (Resnik [ 23], Schlicker et al. [ 24] and Lin [ 25]) and one method based on the structure of gene ontology (Wang et al. [ 26]) to calculate semantic similarity scores between GO terms.
In cytoHubba we implement six node ranking methods based on shortest paths and one method based percolated connectivity.
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Be sure to include at least one Area course and one Methods course in the nine upper-division courses.
Considering only estimated correlations between zero and one, Methods 4 and 6 gave the best estimates of predictive accuracy among the five methods that use cross-validation, followed by Methods 3, 2 and 1, in that order.
In particular, we focus on one method and apply it to a general iterative intersection problem.
Overall, 61.1% of published ER articles relied on one method and 23.6% used two methods.
Last year, sequencing a genome was still a feat in itself, and much of the conference focused on the technical details–assessing accuracy and error rates and comparing one method to another.
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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