Sentence examples for connecting interactions from inspiring English sources

"AI will add contextual intelligence to the brand experience by connecting interactions with relevant services so brands will have to work hard to become part of the vocabulary.

Infancy and late childhood/puberty clusters of altered gene expression were observed in all tissue comparisons and overlap of gene expression (67 genes, Figure  6A & Additional file 1: Table S7) was used to generate an interactome model of 426 protein nodes and 447 connecting interactions.

The network between two genes involved in cell connecting interactions (GJB1 and DES) showed a negative and higher correlation (r = -0.943) in stage II melanoma patients when compared to stage III melanoma patients (r = 0.54).

From the instructors' perspective, one of the most valuable gains from the project is students' appreciation of the affordances and constraints of digital technologies for connecting, interaction, and learning through first-hand experience.

Note as well that [29] employ a heuristic, the "heaviest-subnet algorithm" which computes densely connected interaction subnetworks to be used as seeds in the subsequent main algorithm.

Beyond confirming the well settled hypothesis that such co-expressed, densely connected interaction network regions reflect functional modules, we open up novel computational ways to comprehensively analyze the modular organization of an organism based on prevalent and largely available large-scale datasets.

Analysis of the resulting event graph showed that the generated events form a highly connected interaction network.

p.13 the "transcription factor complex" category is a good example for loosely connected interaction - clarify, give score if you want to mention such interactions, clearly remove if you are after direct physical interactions (then only true for a virus, there several of its proteins directly interact with transcription and translational machinery of the host, e.g. in the HIV example you mention).

Our approach is based on predicting the targets of a drug's promiscuous binding using a structural model and then connecting these interactions with biological pathways.

Essentially the system connects online interactions with real world customer service representatives, ensuring accurate attribution when someone goes from your website to your phone bank.

Researchers at the June 2014 study that "watching MOOCs in groups provides (a) highly satisfying learning experience as learners feel connected and interactions among them are enabled".