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 et.al (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 hotmail.com>
License:	Apache License (≥ 2)
NeedsCompilation:	no
CRAN checks:	metevalue results

Documentation:

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

Downloads:

Package source:	metevalue_0.1.13.tar.gz
Windows binaries:	r-devel: metevalue_0.1.13.zip, r-release: metevalue_0.1.13.zip, r-oldrel: metevalue_0.1.13.zip
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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