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A stochastic (Markovian) matrix was subsequently defined on this graph, an operation that codifies the probabilities of interaction between specific nucleotides of HIV-RNA and the antibiotic.
However, we find that the probabilities of interaction between the hubs are still high.
Predictions are summarized by listing the genes/transcripts ranked by the mRNA samples displaying the maximum probabilities of interaction with any miRNAs, the miRNA samples displaying the maximum probabilities of interaction with any transcripts and the maximum probabilities of interaction between specific miRNA-mRNA pairs.
An important observation is that the probabilities of interaction in these high-degree areas are still quite high when compared to the well-behaved, lower-degree interaction regions.
The underlying model is independent of the interpretation of edge weights, i.e., whether these weights represent probabilities of interaction between adjacent vertices or measure interaction strength.
Ebert et al. developed a surviving fraction model taking into account the density of bystander signals and the probabilities of interaction between a cell and the bystander signals [ 6].
Similar(52)
These confidence scores can be considered as probabilities of interactions and were used to weight the edges of the interaction graph.
In the expectation step, we compute the likelihood of each TF to be a specific interaction using Eq 3. Consequently, the posterior probabilities of interactions for every TF is updated with Eq 1.
Furthermore, using ABMs, inherent phenotypic variability arises due to probabilities of interactions among heterogeneously distributed agent populations, which corresponds more directly to the emergence of sub-cellular and cellular heterogeneities [ 52].
These terms indicates that the higher the probability of interaction (both miRNA mRNA and protein protein) the more likely it is that the interacting entities would be assigned to the same set of modules.
And that proximity is therefore going to translate into some probability of interaction.
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