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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install.packages("brt")

1.1.0 by Le Zheng, 9 months ago


Browse source code at https://github.com/cran/brt


Authors: Le Zheng[aut], Peng Yu[aut, cre]


Documentation:   PDF Manual  


GPL (>= 2) license


Imports stats, ggplot2


See at CRAN