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>.
