Sentence examples for duplication probability from inspiring English sources
As we increase the node duplication probability, we move towards the distributions on the right hand size of Fig. 5.
The "Duplication" model has two parameters: "Init nodes", the number of nodes in the initial seed network, and "Edg prob", the edge duplication probability.
If the edge duplication probability is substantial, however, the same change in P N moves the distribution from scale-free to Erdös-Rényi.
Both the node addition probability P N and the node duplication probability P D creating our surrogate yeast network are remarkably high.
In Fig. 2 we show the degree distribution with a fixed node and edge event probability, but changing the node duplication probability P D, and confirm that if networks grow with duplication, the scale-free edge distribution is unavoidable [ 41].
The duplication probability P DP is set so that the average size of a DGEN, across the entire population, stays within a given range (70%–80% of L × Γ genes).
It is true that different gene duplication probabilities will affect the graph.
The requirements of the model are that all members in a family have the same probability of duplication or loss at any given time, different gene families may have different probabilities at any given time, and the average of all duplication probabilities is less than one (preventing gene families from growing to infinity).
After duplication, the probability of fixation and maintenance of duplicates depends on numerous variables, and a combination of stochastic but also adaptive mechanisms take place.
To begin with, we test whether the exponential distribution of the Callaway model morphs into a scale-free distribution as the duplication event probability is increased.
In addition to the revelation that given an equal opportunity for duplication, a higher probability for retention could be realized, at least in the realm of nGPCRs, we showed that this greater probability could be due to interaction with ligands not encoded by a gene.
