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The distribution of interactions were divided into quartiles, yielding four logical groups of user interaction.
A randomly assembled web would, in contrast, have a more even distribution of interactions among species, as null models of mutualistic webs indicate (Vázquez and Aizen 2003).
For a given participant u, we first consider their generalized neighbor-set, which consists of all other participants, and construct the weighted degree vector (w^{u}_{c}) that corresponds to the distribution of interactions with u's alters in channel c.
Hence, deviations from this null model result solely from an asymmetric distribution of interactions between species.
Hence, deviations from this null model may be due to both differences in the number of interactions between species and an asymmetric distribution of interactions between species.
From the point of view of the human proteins we once again observe a non-uniform distribution of interactions.
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The distribution of interaction types (+/+, -/-, -/+ and +/-) can be plotted for self-interacting fragments as well as for contiguous fragments (i.e. separated by only one RS), and then separated by two, and more RSs.
In this work, we developed a method, dubbed FRET image correlation spectroscopy (FICS), which relied on FRET fluorescence lifetime imaging image acquisition and image correlation spectroscopy of EFRET clusters to quantify the spatial distribution of interaction clusters in the nucleus.
In this contribution, we used the Monte Carlo simulation method in the Canonical Ensemble to explore the effect of shape and intramolecular distribution of interaction centers within a model cross-shaped building-block on the thermal stability of the resulting low-dimensional chiral structures.
I specifically ask about the distribution of interaction strengths (ISs) in genetic networks.
An important related problem is the degree distribution of interaction partners.
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