The metric learning (K ¯ P 3 ), cosine-like (K ¯ P 4 ), and Cartesian graph product (K ¯ P 5 ) pairwise kernels yield intermediate rankings, though the K ¯ P 3 kernel (mean 2.0) was consistently ranked higher than the other two.
Rare (∼5%) disagreements about intermediate rankings (2 and 3) were resolved by discussion, but the extreme phenotypes (1 and 4) differed qualitatively and were scored identically by both observers.
When factor scores were used in combination with original data, the plasticity of our samples was sorted and ranked as high, intermediate, or low, which are in accord with plasticity rankings previously reported in literature [10].
Then the reduce function re-computes the ranking score of the updated intermediate results.
Rankings listed topics as having low, intermediate or high relevance and then a final selection was made during a consensus meeting in which the pre-defined tools were used.
In this example, after three iterations (i.e., the stopping condition), the final ranking scores are calculated and preserved with the intermediate results to be used in the incremental processing, as shown in Fig. 3b.
Kruskal-Wallis test and Jonckheere-Terpstra test were used to compare ranking scores among 3 educational subgroups (up to intermediate school, secondary school/college, and university).
Jonckheere-Terpstra test was used to study the trend in ranking scores among 3 educational subgroups (up to intermediate school, secondary school/college, and university) and four age subgroups: <30 (#140), 30 to 39 (#138), 40 to 49 (#93), and ≥ 50 (# 99).
The rankings of binding affinities for 5 ligands against the predicted intermediate structures and the two solved structures for JNK1.
However, the results obtained with Z-scores and ranking scores also showed an anomaly, namely the drop in the Z-scores and ranking scores for within-species paralog comparisons in the intermediate sequence divergence range and the seemingly paradoxical high scores in the high divergence range (fig. 2 C and D).
ContextNet finds high-ranking context-sensitive paths in the interactome, thereby revealing the intermediate proteins in the path and their path-specific contexts.
