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Both numerical EC3 predictions were higher and on the unsafe side when compared to experimental corresponding loads for empty steel samples.
For composite stubs, the load carrying capacity increased significantly; the EC4 numerical load predictions were higher in the higher range 300 500 mm and lower in the higher range 50 200 mm.
Although the results of MUT were poor, in BRCA and LUAD the predictions were higher than in OV and GBM even though we used more genes in those cancer types.
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S predictions were high across the midwestern and eastern states and in the Los Angeles area, and lower in the plains and mountains.
However, the number of core genes in both predictions is higher when compared to the previous reports [11], [12].
Apparently, the weighted sum of domain predictions is higher than the whole-chain GDT-TS for this example.
The average error of Tm predictions was higher for these duplexes (2.7 °C) than the error seen for the set of VAL-01 VAL-33 VAL-01 VAL-33 VAL-01 VAL-33
We show that accuracy of across-breed genomic predictions was higher with BayesR than with GBLUP and that BayesR mapped QTL more precisely.
We find that the ratio of experimentally-supported interactions to all positive predictions is higher for ENTS than all alternative classifiers except AtPID.
Hayes et al. [ 26] showed that the accuracy of genomic predictions is higher for traits with a higher proportion of large effect loci than for traits with no loci of large effect.
Hayes et al. [ 39] showed that the accuracy of genomic predictions is higher for traits with some loci having large effects than for traits with no loci of large effect.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com