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Given an interaction dataset, the probability that two genes A and B interact with each other at random is: - log P = - log ∑ i = k min (n, m ) p (i | n, m, N ) Where: p (i | n, m, N ) = n i N - n m - i N m In this approach, P indicates the probability that genes A and B will interact by chance.
Since the multigraph (mathcal {D}_{textit {csloc}}) takes into account both SMSs and calls, we can estimate, for each given pair of interacting users, whether the probability of being in proximity given a SMS communication is greater than the same probability given an interaction mediated by a call.
Thus, given an interaction at t int, the energy value retrieved from the ODF for the adaptation process is given by: O(t_{int}) equiv maxleft{O(t_{m})right}text{with} t_{m}inleft[t_{int}-W_{T},~t_{int}+W_{T}right}text{with} t_{m}inleft[t_{int}-W_{
Each variant was given an additive effect, and each pair of variants was given an interaction effect.
Given an interaction network in which the interaction of every two genes is weighted by a probability (see Section 2.3), the goal of our method is to identify modules in such network.
Dynamics of important processes such as diffusion, segregation, and even chemical reactions (given an interaction method capable of treating reactive processes) can be studied using AKMC, and the results may then be fed to larger scale models such as on-lattice KMC or rate equation methods.
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All programs except T ARGETRNA and I NTARNA give an interaction for each putative target region.
Binding of the second template should be favored because of the preorganization of the binding pocket, giving an interaction parameter α greater than 1.
Given a genetic interaction map D, we want to find the module hierarchy that minimizes the MDL score.
Given a significant interaction with sex, we stratified the data and ran the models separately for males and females.
Given a significant interaction, stratified analyses were conducted to clarify the underlying pattern, i.e., with either obesity or abdominal obesity defined as the focal independent variable, simple effects or (given three-way interactions) simple simple effects [ 27] were tested.
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Justyna Jupowicz-Kozak
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