Sentence examples for performance supplementary from inspiring English sources

For each mutant strain, an ANOVA was performed on the two selected variables to compare centre and genotype performance (supplementary material Table S1).

Our simulation experiments show that the inclusion of image intensity improves the clustering performance (Supplementary Document).

We used the macro-precision and macro-recall as measures of assignment performance (Supplementary Materials, 'Performance measures').

Additionally, we show that choosing a higher value of α leads to a better performance (Supplementary Figs S1 and S2).

We found other string kernels (Leslie et al., 2004; Lodhi et al., 2002) either slower in runtime or worse in performance (Supplementary Table S4).

On the Arabidopsis whole genome dataset, the combined predictor exhibits higher overall performance (Supplementary Figure S4B, AUC = 0.727) than BLAST (AUC = 0.562) and PSI-BLAST (AUC = 0.682).

Information on the number of patients receiving chemotherapeutic treatment within each subset is indicated in Tables 2 and 3 and Supplementary Table S3; further information on therapy and performance status is provided in Supplementary Tables S1 and S2.

Similarly, when PCA was applied to the l6n1 signature with the Euclidean distance metric, a large reduction in the dimensionality was observed (38 114 principal components explaining 97.81 99.96% variance), with no significant performance improvement (supplementary table S4, Supplementary Material online).

Given the variability of pond productivity and performance of supplementary feed a nutritionally complete feed that is water stable, digestible by redclaw and therefore utilised more efficiently will result in improved food conversion ratios (FCRs), reduce nutrient loading in pond aquaculture systems and decrease harvest times, all of which have direct cost benefits to the farmer.

These quantitative algorithms did not improve overall marker performance (see Supplementary Table S2).

An alternative, naive mapping approach (setting the most abundant class to the "no-change" level, and all others to gain or loss depending on their mean), leads to much worse performance (see Supplementary Material of [46] for details).