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In the construction of a protein-protein interaction table, information on interaction types, directions of interactions, and cell lines is collected in addition to the identities of interacting proteins.
Furthermore, we recorded the directions of interactions between genes (or proteins) as well to the graph.
Information theoretic approaches do not predict the directions of interactions which are important in understanding the signal flow via biological pathways [ 11].
In the present application, as introduced in Schneidman et al. (2006), it is related to the likelihood that a spike occurring in 1 neuron will "cause" a spike in another neuron or vice versa (the directions of interactions are not estimated by this model).
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Finally, we conclude with the future directions of interaction analysis.
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.
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.
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.
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.
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