metevalue: E-Value in the Omics Data Association Studies

In the omics data association studies, it is common to conduct the p-value corrections to control the false significance. Among those p-value correction methods, E-value is recently studied based on V. Vovk and R. Wang (2021) <doi:10.1214/20-AOS2020>. This package provides e-value calculation for several types of omics data association studies. Currently, four data formats are supported: BiSeq, MDRfinder, methylKit and metilene data. The relevant references are listed below: Katja Hebestreit and Hans-Ulrich Klein (2022) <doi:10.18129/B9.bioc.BiSeq>; Altuna Akalin (2012) <doi:10.18129/B9.bioc.methylKit>.

Version: 0.1.13
Depends: sqldf, psych, dplyr, R (≥ 3.5.0)
Suggests: rmarkdown, knitr, ggplot2, tidyr, testthat (≥ 3.0.0)
Published: 2022-11-21
Author: Yifan Yang [aut, cre, cph], Xiaoqing Pan [aut], Haoyuan Liu [aut]
Maintainer: Yifan Yang <yfyang.86 at>
License: Apache License (≥ 2)
NeedsCompilation: no
CRAN checks: metevalue results


Reference manual: metevalue.pdf
Vignettes: E-value in DNA methylation studies


Package source: metevalue_0.1.13.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): metevalue_0.1.13.tgz, r-oldrel (arm64): metevalue_0.1.13.tgz, r-release (x86_64): metevalue_0.1.13.tgz, r-oldrel (x86_64): metevalue_0.1.13.tgz
Old sources: metevalue archive


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