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Consequently, we conduct a comparison study of eight tests representative of variance modeling strategies in gene expression data: Welch's t-test, ANOVA [1], Wilcoxon's test, SAM [2], RVM [3], limma [4], VarMixt [5] and SMVar [6].
To provide elements to answer, we conduct a comparison of eight tests representative of variance modeling strategies in gene expression data: Welch's t-test, ANOVA [1], Wilcoxon's test, SAM [2], RVM [3], limma [4], VarMixt [5] and SMVar [6].
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We applied this comparison process to eight tests representative of different variance modeling strategies.
This selection has focused on tests broadly applied in the literature and representative of different variance modeling strategies.
A λ value of one implies that the common variance is representative of the population variance.
Thus, it was assumed that the squares of the OLS residuals are representative of the error variance.
These 'first' factors were chosen to be the most representative of the global variance of the data.
Furthermore, the genotyped animals represent AI sires, and these represent highly selected individuals, so their genetic variance is not likely to be representative of the population genetic variance.
Bold figures indicate representatives of the largest source of variance amongst the effects.
While using individual or multiple validation criteria is not instrumental for identifying RD and ET facets, a single variable that is representative of the target construct's variance should be defined by the shared variance of construct-relevant outcomes.
Thus, Step 1 is to obtain a comprehensive sample of construct-relevant outcomes with common-variance representative of the target construct.
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