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Temporally regulated genes in the quadriceps of Tg(HQK) and KO, in comparison to WT, were identified using EDGE (extraction and analysis of differential gene expression), a significance method for analyzing time course microarray data [ 27, 28].
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Averaged across ten trials, the likelihood-based method had an average runtime of 899.377s, the hypergeometric method had an average runtime of 409.543s, and the algorithmic significance method had an average runtime of 0.779s.
A significance analysis method, MutSigCV, was used to identify significantly mutated genes (SMGs).
Adjustment of significance method was made using the Bonferroni method [ 28].
Clinical Significance method will be used to estimate rates of response (reliable improvement), remission (clinical significance), recovery (maintained clinical significance) and relapse (deterioration) [ 63].
Our tool uses the Winnow algorithm for network construction and establishes significance via the algorithmic significance method, eliminating the need for costly permutation testing.
Since total assay throughput is limited by image acquisition speed, we utilized a derivation of Devore [27] to estimate the minimum number of cell measurements needed per well to achieve significance (Methods).
Third, cluster significance methods focus on the likelihood that the cluster structure has not been formed by chance.
This approach is used on small data sets as the traditional "statistical significance" methods may result in p values > 0.05 to 0.1.
The current double-significance method of Neyman Pearson attempts to address problems with equivalence testing, but it leads to very large sample sizes and illogical results.
Similar numbers of differentially expressed genes were found when comparing the direct random method at a significance level of 99% with the other two methods at 95% (Table 3).
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