Sentence examples for interaction inference from inspiring English sources

The problem of interaction inference is then modeled as a constraint satisfiability problem and solved via linear programing.

We propose a novel interaction inference technique that incorporates context term vectors into the ABC model to discover meaningful hidden relationships.

We report encouraging results of using our method for drug-protein interaction network reconstruction which may shed light on the molecular interaction inference and new uses of marketed drugs.

To solve a relatively easier problem of inferring the regulatory interactions for each individual TF and to prepare input for multi-TF regulatory interaction inference, an EM-based Bayesian inference algorithm has been developed [ 20, 21].

Using a supervised interaction inference methodology that exploits the experimentally identified interactions that are known so far, is likely to increase the true positive rate of our analysis when compared to unsupervised methods.

For comparison, we also apply a traditional gene interaction inference method in various ways on these data to illustrate why such methods cannot be used to infer interaction with respect to cancer, as explained earlier.

Traditional gene interaction network inference algorithms may then work in a complementary fashion to help identify interactions of the oncogenes that may not cooperative with respect to cancer.

In this study, we developed a computational framework that integrated ortholog-based protein-protein interaction (PPI) inference and dynamic modeling of regulatory responses during C. albicans infections to construct the interspecies PPI network for characterization of host-pathogen interactions.

Since genes with similar expression profiles are likely to encode interacting proteins, we also evaluated protein-protein interactions (PPI) using Cytoprophet, a Cystoscape plug-in for protein and domain interaction network inference and results of our gene expression study (protein counterparts of differentially expressed genes) [ 33].

While community ecology considers interactions among entities, the inference of interactions can depend critically on the level at which entities are defined.

This survey further calls for more research on the formal methods that are applicable to design knowledge representation, human-machine interaction, and design inference.