Sentence examples for path of interactions from inspiring English sources

Exact(3)

In a cogitation process, one that involves a long path of interactions, we can partition the process into beginning, middle and the ending part.

Initial efforts to rank disease genes exploited the presence of direct interactions (Oti et al., 2006) or the length of the shortest path of interactions leading from a candidate gene to a known disease gene (George et al., 2006).

PIVOT can expand the network to display all proteins up to a specified distance, detect the shortest path of interactions or unfold the relationships among "distant" proteins, which respond similarly under a experiment's conditions.

Similar(57)

That is Jacques Derrida, in the last sentence of a 1984 lecture on "Ulysses" — specifically, exploring the way its author uses the word "yes" to mark an elaborate negotiation between self-identity and a path of interaction through the world.

In a post-election speech, Rouhani said, "Our nation's message in the election was clear: Iran's nation chose the path of interaction with the world, away from violence and extremism".

"Our nation's message in the election was clear: Iran's nation chose the path of interaction with the world, away from violence and extremism," Rouhani said.

This model is capable of identifying and removing correlations caused by common inputs and of adding instead the estimated paths of interactions that are not directly visible in the correlation network.

EnrichNet alleviates this limitation of ORA approaches by additionally taking tissue specificity annotations into account for all non-overlapping gene/protein pairs, which are connected through paths of interactions in a molecular network.

Compared to a random selection of proteins, house-keeping gene-encoded proteins tended to have a greater number of directly interacting neighbors and occupy network positions in several shortest paths of interaction between protein pairs, whereas tissue-specific gene-encoded proteins did not.

A PMN (Fig. 1) consists of two components: an MN representing the relation in expression between a regulator and its targets and a Physical Interaction Graph providing a path of physical interactions between them.

The PMN model, based on Module Networks (Segal et al., 2003), discovers modules of co-expressed genes, sets of regulators that control their activity, and a path of physical interactions that connects the regulators to their target module (Fig. 1).

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