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.
- Version0.2.4
- R version≥ 3.5.0
- LicenseApache License (≥ 2)
- Needs compilation?No
- Last release05/26/2023
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Team
Yifan Yang
Xiaoqing Pan
Show author detailsRolesAuthorHaoyuan Liu
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- Depends3 packages
- Suggests6 packages