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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>.

Versions across snapshots

VersionRepositoryFileSize
0.2.4 rolling linux/jammy R-4.5 metevalue_0.2.4.tar.gz 2.7 MiB
0.2.4 rolling linux/noble R-4.5 metevalue_0.2.4.tar.gz 2.7 MiB
0.2.4 rolling source/ R- metevalue_0.2.4.tar.gz 1.6 MiB
0.2.4 latest linux/jammy R-4.5 metevalue_0.2.4.tar.gz 2.7 MiB
0.2.4 latest linux/noble R-4.5 metevalue_0.2.4.tar.gz 2.7 MiB
0.2.4 latest source/ R- metevalue_0.2.4.tar.gz 1.6 MiB
0.2.4 2026-04-26 source/ R- metevalue_0.2.4.tar.gz 1.6 MiB
0.2.4 2026-04-23 source/ R- metevalue_0.2.4.tar.gz 1.6 MiB
0.2.4 2026-04-09 windows/windows R-4.5 metevalue_0.2.4.zip 2.7 MiB
0.2.4 2025-04-20 source/ R- metevalue_0.2.4.tar.gz 1.6 MiB

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