Sentence examples for network under perturbation from inspiring English sources
To exemplify this principle, we studied the differential dynamic properties of a partial TGF-β signaling network under perturbation of silica between normal and SSc fibroblasts.
Application of the time-frame expansion technique yields similar predictions for the network under perturbation.
Since biological experiments are not straightforward or easy to be implemented for investigating the T-cell network under perturbation, such study may provide insights into the understanding of potential physiological implications in a perturbed network.
When the genes in a network are perturbed with a small probability, an SBN with perturbation can be constructed (as in Figure 3) for analyzing the stability of the network under perturbation.
As an alternative and efficient approach, the time-frame expansion technique can be used to evaluate much larger networks under perturbation.
Most of these methods either requires a list of candidate genes to narrow down the combinatorial problem or based on computational brute force to simulate network response under perturbation.
The second part is related to the perturbation that is induced locally in the transcript network under individual perturbation.
Very recently, Li [11] generalized (1.1); he considered a stochastic cellular neural network under impulsive perturbations.
Such an approach has several desirable properties including a solid probabilistic background behind the algorithms, including an ability to combine data from different conditions, and an ability to make inferences of network changes under perturbations which can be tested in subsequent experiments.
In particular, the absence of cancer-specific functional gene/protein networks and the lack of further characterization of the network behavior (e.g, network robustness [8] under perturbation) makes it difficult to design an accurate perturbation strategy [6], [9].
A powerful feature of the Bayesian network is making inferences on expected changes in the networks under different perturbations.
