Sentence examples for assessing closeness from inspiring English sources

This allows for more precision in assessing closeness, which is especially useful in protein networks, where most protein pairs are very close to each other in terms of shortest path distance.

Studying chimpanzees also allows us to test whether human ingroup-outgroup empathy bias is rooted in evolved mechanisms assessing social closeness, familiarity, and group status.

From the discussion in Section 4.1, it is evident that the MSE is not adequate for assessing the closeness between two images, it is rather good at assessing the distance between them.

Shortest path distances consider a single path in assessing the closeness of two nodes.

Here we consider the problem of assessing the closeness of two proteins in a protein-protein interaction (PPI) network.

We developed a parameter-free method, interconnectedness (ICN), to rank candidate genes by assessing the closeness of them to known disease genes in a network.

We further assessed the effect of adding genotype to the calibration of the risk models (which involves assessing the closeness of the observed event rate to the predicted risk in different risk categories) as well as reclassification (which assesses the extent to which addition of genetic information shifts people to categories of predicted risk that better reflect their eventual outcome).

We define a meaningful way to assess the closeness of two proteins in a PPI network, and show that our closeness measure is more biologically significant than other commonly used methods.

Firstly, the performance of this new algorithm is investigated on a set of known benchmark functions to assess the closeness to the global optimum in least number of generations as compared to GA.

Our approach was to attempt to find a closely-matching GG (including both the survival and hazard functions) for any given member of these two families, using the Kullback-Liebler distance to assess the closeness of the match.

For each distribution, we examine its QRR and compare the QRR to that of the GG; select several parameter combinations to capture different hazard shapes and QRR values; find matching GGs for each competitor; and assess the closeness of the match numerically (using the KLD) as well as visually.