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As pointed out by Corrado and Fingleton ([2012]), any assumption about the spatial weight matrix is fundamental to the specification of spatial phenomena, when measuring the strength and direction of interactions between spatial units (see Mur [2013]).
Uncovering the existence and direction of interactions between elements of a set of signals remains a difficult and arduous task that one has to face if one wants to understand the mechanisms at work in most biological phenomena and make full use of the high-throughput experimental data that is now more and more available.
Also, the DMI model makes specific predictions about the direction of interactions.
Utilizing information about clinical EAE development (disease status, severity and onset) enabled predictions regarding the direction of interactions demonstrating a causal relationship associated with the development of a clinical phenotype.
Further, the strength and direction of interactions between introduced and native species, as well as between above- and belowground biota depends on both biotic and abiotic features of the system to which an alien species is dispersed.
Consequently, to simplify the modeling, the number of traits used in canonical correlation was reduced using Pearson correlation analysis of traits for each year site combination to determine the magnitude and direction of interactions.
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A strict analysis shows that a specific coupling of multi-atom Van der Waals interactions with covalent bonding can, in extreme cases, increase (or decrease) the interaction energy by about 20 40% at certain angles between the direction of interaction and the covalent bond.
The presence and direction of interaction depends on the scale, e.g. additive or multiplicative, that is used.
The correlation measure of the entire data is beneficial for determining the strength of association between nodes (see Section 2.4) but disadvantageous for detecting the direction of interaction.
Modification of the main structural fragment of a drug may lead to an improvement in its antimicrobial efficiency and strength as well as mode and direction of interaction.
'Direction of interaction' indicates that one protein affects the activity of another protein, i.e. upstream or downstream in the signaling pathway.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com