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. Beyond the P-value corrections, E-value is recently studied to facilitate multiple testing correction based on V. Vovk and R. Wang (2021) <doi:10.1214/20-AOS2020>. This package provides E-value calculation for DNA methylation data and RNA-seq data. Currently, five data formats are supported: DNA methylation levels using DMR detection tools (BiSeq, DMRfinder, MethylKit, Metilene and other DNA methylation tools) and RNA-seq data. The relevant references are listed below: Katja Hebestreit and Hans-Ulrich Klein (2022) <doi:10.18129/B9.bioc.BiSeq>; Altuna Akalin et.al (2012) <doi:10.18129/B9.bioc.methylKit>.
| Version: |
0.2.4 |
| Depends: |
sqldf, psych, dplyr, R (≥ 3.5.0) |
| Suggests: |
rmarkdown, prettydoc, knitr, ggplot2, tidyr, testthat (≥
3.0.0) |
| Published: |
2023-05-26 |
| DOI: |
10.32614/CRAN.package.metevalue |
| Author: |
Yifan Yang [aut, cre, cph],
Xiaoqing Pan [aut],
Haoyuan Liu [aut] |
| Maintainer: |
Yifan Yang <yfyang.86 at hotmail.com> |
| License: |
Apache License (≥ 2) |
| NeedsCompilation: |
no |
| CRAN checks: |
metevalue results |
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