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In sparse k-means clustering, the 21 genes were selected according to the weight (largest weight), and in semi-supervised clustering, the 21 genes were selected based on the largest Cox regression analysis score (Additional file 11).
To further test the robustness of our study, we alternatively removed 2 studies with the largest weight and recalculated a combined HR estimate from the remaining studies, consistent and statistically significant results were maintained.
Then we added the study with the next largest weight, and plotted the corresponding random-effects 95% confidence interval for the two-study meta-analysis (the second segment from the top in the figure).
We found significant results for some pollutant cardiac anomaly combinations, but only two of these (NO2 and tetralogy of Fallot, and SO2 and coarctation of the aorta) were robust to the exclusion of the study with the largest weight, and we could not confirm significant findings from the continuous exposure analyses with high- versus low-exposure analyses.
As in the previous section, we compute the shortest path lengths S+ and S− in P. For quantifying the overall weight (length) of a path, we use MAX-metric, i.e. an influence path is as good as its 'weakest' edge having the largest weight and thus the lowest association.
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Intuitively, if a model has large weight and low variance, then most probably the model represents the most stable background.
Lagrangian relaxation combined with subgradient optimization procedure appears to work much better than column generation and seems to be a quite reasonable approach to the problem for large weight, and even small weight, instances.
Products with a low ANC formed strong coherent rafts with medium to large weight and volume, and those with low ANC and a calcium ion source formed the strongest rafts.
The limbs were large and robust to support the animal's large weight, and were in some ways similar to and convergent with those of elephants and sauropod dinosaurs with their likewise graviportal (heavy and slow moving) builds.
However, when applied at the study level, the net heat plot also has the additional advantage of pointing to influential studies, i.e. studies with large weight and large residuals.
Combine the units of measurement from the large weight and the small weight to determine your body weight.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com