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Analyses of largescale omics datasets commonly use pvalues as the indicators of statistical significance. However, considering pvalue 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.
Package details 


Author  Le Zheng[aut], Peng Yu[aut, cre] 
Maintainer  Le Zheng <lzheng.chn@gmail.com> 
License  GPL (>= 2) 
Version  1.3.0 
Package repository  View on CRAN 
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