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According to Beck et al. (1997) the difference between the two methods is largest when soils contain a disproportionately large component of microorganisms using glucose as an energy source, suggesting a shift in microbial community structure in the high-P soils.
The difference between the results from HC-PLSR and the other two regression methods is largest for the state variables PO1, PC2, ONa, CNa1 and CNa2, perhaps due to a higher degree of nonlinearity and/or a non-monotone response surface (see Additional file 1: Appendix 4, Figure A4.1).
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Consequently, the overlap between the regions called with the two methods is large, but not complete.
Nonetheless, the overlap of significant markers between methods is large; many of the significant markers found with RF were also significant with the simple model (1) and with the model with correction for kinship (3).
Because the number of competing summarization methods is large and growing, a thorough and systematic assessment of their performance deserves an independent effort and is outside of the scope of this study.
The variation of the mean squared error of all three methods is large to observe statistically significant differences in the methods; however, on average, RidgeRace performed similar or better in our simulation than the two alternative methods.
We considered that a method performs significantly better than another one if its performance is significantly better with a P < 0.05 and the difference between the performance estimates of the two methods is larger than 1% of the lowest value.
The number of significant pathways identified using the pathway enrichment methods is larger when the gene score is calculated with PCA regression compared to the best scoring SNP within the gene.
Analytically, this paper demonstrates that the total number of patient visits captured by all facilities in the 2SFCA methods is larger than the number of visits expected based on population size.
The difference between DSCs obtained by the different GCM methods was largest for necrotic uptakes and smallest for the Gaussian uptake.
The difference between methods was largest at low-frequency SNPs, but there was a substantial gap across the entire frequency spectrum.
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