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Adjustment of parametric settings cannot remedy the algorithmic limitations unless we increase the depth of sequencing coverage and read length [31].
Competitive gene set testing methods that correctly account for correlation among gene-level test statistics, either through sample permutation, parametric approximation of the sample permutation distribution or correlation adjustment of parametric test statistics, include SAFE [ 31, 33, 34], GSEA [ 35], GSA [ 36] and CAMERA [ 32].
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It allows the adjustment of both parametric and non-parametric data in the same model.
Adjustment of these variables yields parametric studies concerning the thermal stress response.
Parametric adjustment of reaction rate constants to fit a simulated OH signal with the experimental OH decay data gives a three-body reaction rate constant for H + OH + M → H2O + M that is larger than expected at low temperature and lower at high temperatures.
In addition, these alternative methods 5– 8 require prior training or parametric adjustment of a model for a species family, whereas UFM does not.
Comparing these results in Table 5 to those displayed in Table 4 shows that the risk aversion measures became significant following the non-parametric adjustment of the self-evaluation risk measure.
Statistical evaluation comprised of ANOVA and paired t test for evaluation of parametric data with Bonferroni adjustment.
Because the available statistical program did not allow adjustment for non-parametric tests, parametric tests were used for all comparisons.
Shares of Parametric fell 5 cents, to $3.85.
Table 1 Summary of parametric study.
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