Exact(2)
For example, for the model-based approach one may select a significance level (p < 6.77e-06) so that 46% of the known cell cycle regulators are included in the rules but virtually none of the other regulators.
Using KS p-values to identify potential problems with the imputation model specification in an automated fashion also requires the user to select a significance level at which differences between observations and imputations are to be flagged.
Similar(58)
Initially we selected a significance level (e.g. p < 0.05).
We selected a significance level of 0.01 (two-tailed).
After selecting a significance level, αe, genes were sorted by P-values from the most to the least significant.
Practically, this cut-off value needs to be estimated by resampling the data and selecting a significance level α.
The process is summarized in the following steps: After selecting a significance level, αe, genes were sorted by P -values from the most to the least significant.
Thus, not only would users have to consider their sample size when selecting a significance level, but they would also need to take into account the proportion of missing data in each of the incomplete variables.
The problem now is to select a threshold of significance to identify a set of genes likely to be differentially expressed.
In all network studies where actual data are compared with shuffled datasets, it is necessary to select a threshold for significance.
Select a stick with significance.
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