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Thus, this relationship is summarized by the implication score "2-3," which gives the number of sources followed by the number of groups which support this gene model.
A researcher can choose an implication score cutoff of choice, balancing the number of associations to perform with the implication support of models of interest.
Through choosing a model implication score cutoff the number of models to test can be reduced, thus avoiding the prohibitive computational and multiple-testing burden of an exhaustive pairwise analysis.
This number typically ranges from 0 to 5, where implication index of zero indicates no support in the simulated knowledge pool, while an implication score of 5 indicates that this model is very well supported.
Each time the same pairwise model of genes is found in another source, the left-hand index of the implication score for that pairwise model increases by one; each time it is found in another group from the same source, the right-hand index increases by one.
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We will also be exploring permutation testing approaches for evaluating implication-score significance.
One academic study, which examined the correlation between the number of Obama field offices and voting results at the county level, determined that the offices — and, by implication, the scores of staffers who worked out of them — increased Obama's national vote by almost one point and were the deciding factor in his winning Florida, Indiana, and North Carolina.
What they find could have implications for scores of other crops, from coffee to chocolate to cherries, whose taste and value also depend on local climates.
This has important implications for scoring and reporting, as well as interpretation.
In addition, practical aspects including costs and logistic implications were scored because these are important aspects to know; however, as these are non-scientific arguments that may weigh very differently in different settings, these practicalities were not included in the integrative assessment of the overall usefulness of the markers.
This range was arbitrarily chosen as to make the score implications more apparent to a respondent.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com