Sentence examples for degree ranking from inspiring English sources

For example, while average "real" prediction performance of GO groups is high when using protein interactions (mean AUC 0.7), the node degree ranking mean AUC is 0.63 – far above the 0.5 expected by chance.

Some karate schools for example have teaching ranks such as "juin-shidoin" and "shidoin" in addition to black belt degree ranking.

To show this, we calculate the Spearman correlation coefficient between the degree ranking of nodes and their propagation rate ranking.

Learning from the IPN or the node degree ranking is like relief of symptoms from a placebo – significant and interesting, but potentially misleading with respect to causality.

While node degree ranking is surprisingly powerful for predicting gene function, it is still not clear from the above analysis the extent to which node degree underlies the performance obtained when network structure is used.

The unsparse coexpression data exhibits low node degree bias (the mean AUC based on node degree ranking is 0.52) but very good performance using the prediction algorithm (mean AUC of 0.71, Figure 6A).

degree) ranked No. 9 among U.S. medical schools for primary care, and the College of Human Medicine (MD degree) has regularly ranked among the top forty U.S. medical schools for primary care.

In the following we consider a model to assess the specificity of functional information in protein interaction networks (and find that node degree ranks genes by their probability of random interaction).

The betweenness ranks correspond quite well to the degree ranks with some exceptions.

The degree ranks for the three networks are almost identical (see Tables 3, 4 and 5).

The degree ranks showed a slightly higher correlation between the RNAseq and Bead GRN of r=0.22 (RNAseq-Bead, p≤2.2 e−16) compared to r=0.16 (Bead-Oligo, p≤2.2 e−16) and r=0.16 (RNAseq-Oligo, p≤2.2 e−16).