brt: Biological Relevance Testing

Analyses of large-scale -omics datasets commonly use p-values as the indicators of statistical significance. However, considering p-value alone neglects the importance of effect size (i.e., the mean difference between groups) in determining the biological relevance of a significant difference. Here, we present a novel algorithm for computing a new statistic, the biological relevance testing (BRT) index, in the frequentist hypothesis testing framework to address this problem.

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Package details

AuthorLe Zheng[aut], Peng Yu[aut, cre]
MaintainerLe Zheng <>
LicenseGPL (>= 2)
Package repositoryView on CRAN
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brt documentation built on May 2, 2019, 10:22 a.m.