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In this paper we present a Bayesian method that includes both these effects, and allows the inference of a set of modifiers that have been constructed to give information about microphysics models from experimental data.
Each semantic role is comprised of a head noun and a set of modifiers.
to decide whether a set of modifiers is a supporting set for a particular reaction, we follow a straightforward approach.
If we find that a set of modifiers is a minimal supporting set, we do not need to test any of its supersets.
If a set of modifiers is a supporting set, a positive concentration of only these modifiers allows a non-zero flux, while a positive concentration of only a proper subset of these modifiers constrains the flux to zero.
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Given a reaction ρ∈ℛ, a minimal supporting modifier set (supporting set, for short) is defined as a minimal set of modifiers that need positive concentrations (while all others are absent) to allow reaction ρ to have a positive flux.
In a study that did not control for seasonal temperature, Bell et al. (2009) identified a different set of modifiers for associations between hospitalizations and PM2.5, including EC, vanadium, and nickel.
in order to find all supporting sets of a reaction, the algorithm analyzes the power set of the reaction's set of modifiers to ensure that all supporting sets are found.
However, analysis of the subcellular localization of the same set of modifiers, when compared to randomized sets of genes, discovered a clear overrepresentation of modifiers with a role in the endomembrane system (Van Ham et al, 2008).
If you think about corporations that have been successful public companies, words like "artisanal" give way to another set of modifiers and images: mass market, industrial scale, efficient, and command and control protocols and decision rules.
The sets are checked in increasing size order, trying to avoid testing the whole power set of modifiers.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com