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In addition to comparing multiple testing algorithms, we also compared the performance of t-statistics and Welch statistics.
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For statistical comparisons of expression levels, the Student's t-test option was employed with a FDR (Benjamini-Hochberg correction) multiple testing correction algorithm.
BiForce is a regression-based tool handling binary and continuous outcomes, that can take account of missing genotypes and has a built-in multiple testing correction algorithm.
Using Anova testing, along with a Benjamini and Hochberg multiple testing correction algorithm, 1997 transcripts showed a statistically significant change in abundance (p ≤ 0.01) in at least one of the time points compared to the control hybridizations.
We presented Proteny, a methodology which identifies significant conserved syntenic clusters of exons between two genomes through a novel method for cutting dendrograms and a new dynamic multiple testing correction algorithm.
As stated in the methods section p-values were corrected using the Benjamini-Hogberg multiple testing correction algorithm as implemented in the ANOVA function of the Genespring software package.
When software algorithms are used to generate a single result from the results of multiple tests, these algorithms are considered devices in and of themselves.
Resulting p-values were corrected for multiple testing using the algorithm of Benjamini and Hochberg [27].
However, adding external improvement measures can improve the performance of such HIV rapid testing [ 11] and multiple rapid test algorithms have been shown to be very accurate when used in diverse African settings [ 12- 14].
In this regard, there are several multiple-testing algorithms that focus on controlling the family-wise error rate (FWER), defined as the probability of committing at least one type-I error through the several hypotheses tested.
Unlike other algorithms, we observed that the classification performance of our IPRE algorithm on multiple testing datasets was consistently good, suggesting that the IPRE algorithm was independent of any testing dataset when it achieved high classification performance.
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