Sentence examples for rank supplementary from inspiring English sources

Exact(3)

Figure 4(D) shows the projected daily average Wikipedia visitation of players grouped based on their best rank (supplementary materials S9 in Additional file 1).

> MTR assigned more reads than LCA for each taxon detected by both the methods, at every rank (Supplementary Figs S19 S30).

After the curated genomic screen data were assembled and the ∼4800 knockout strains were ordered by survival rank (Supplementary Table S1), we then retrieved the results from this screen for the original test strains and for the eight strains with previously reported cell death phenotypes.

Similar(57)

results of the two algorithms show interesting differences, especially on the Coral dataset, where MTR assigned a higher percentage of reads to Porites and its ancestor taxa at all the ranks (Supplementary Figs S19 S30).

Similarly, in our study, a positive correlation existed between genome size and cumulative length of NUPTs (P < 0.01 by Kendall's rank correlation; Supplementary Fig. S1).

We measured the impact of alternative parameter values over a subset of the experiments as measured by a paired signed Wilcoxon rank test (Supplementary Table ST2).

Differences in life satisfaction between welfare regimes were most apparent at the least advantaged end of the socioeconomic ranking and narrowed as the rank increased (Supplementary data available in Age and Ageing online, Appendix S4).

Here, we only had access to 97 out of the original 108 patients, and here we found that RB expression was only a borderline significant predictor of cancer-free survival (P<0.07, log rank test; Supplementary Figure 5B).

To assess the interrelationship between CAIX expression and hypoxia or proliferation, the CAIX expression level was compared with that of the HIF-1 α and Ki-67 index, respectively, by using the Spearman's Rank test (Supplementary Figure S2).

Next, based on reuse of the RNA-Seq sub-dataset that contained both lncRNA and protein-coding genes, we used two different methods to estimate the co-expression relationships between the lncRNA and protein-coding genes, namely, the linear regression model and Spearman rank correlation (Supplementary Methods).

However, the average length of overhangs is significantly different between all dentin and calculus samples (p = 0.04, Wilcoxon signed-rank test) (Supplementary Table S9).

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