Sentence examples for informative connections from inspiring English sources

A multi-dimensional approach can inform complementary and mutually informative connections between different levels of descriptions across stages, thus yielding patterns of abnormalities (Phillips and Kupfer, 2013).

Then, from the distance matrix of the areas, we can determine the minimum spanning tree of the system, a concept introduced in the context of graph theory to find the most relevant (or more informative) connections in a network.

We observe that the highest conditional frequency is found for the genomic proximity network: 45.3% of functionally informative co-evolutionary connections are also inferred to be significant genomic proximity connections.

Importantly, other informative patterns of connections between viral sequences are also observed in the graph.

For the PPI network the conditional frequency with functionally informative co-evolutionary connections is only 9.72%.

Importantly, this result suggests that over half of the functionally informative co-evolutionary connections could not be directly inferred by mere physical proximity.

This suggests that >90% of the functionally informative co-evolutionary connections are between genes that may not be in direct physical interaction (as determined by their relatively low PPI score).

The Union of Concerned Scientists has posted an informative breakdown on the connections between the winter storm bearing down on the Northeast and the planet's changing climate.

In conclusion, MTC models using either a homogenous variance structure or weakly informative variance priors in connection with an unrestricted heterogeneous variance structure both have serious methodological shortcomings.

Using informative variance priors in connection with an unrestricted variance structure or borrowing strength by assuming exchangeability or imposing consistency between heterogeneity variances, can all ensure sufficiently reliable and realistic heterogeneity estimation, and thus reliable MTC inferences.

Is information always informative?