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Mean MLP value of the MNLR predictions was higher by 19% than that of the MC-simulated T whose mean was higher by only 1% than mean measured T. Incorporating the uncertainty estimation based on Monte Carlo simulations with response surface approach for co-combustion of SS and WH was one of the main novel contributors of the present study to related literature.
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.
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Even so, while sensitivity of the predictions was high at 89 % (Table 1, raw results) the positive predictive value (PPV) was still low at 37%% (Table 1, raw results).
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.
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.
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.
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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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com