easyEWAS: Perform and Visualize EWAS Analysis
Tools for conducting epigenome-wide association studies (EWAS)
and visualizing results. Users provide sample metadata and methylation
matrices to run EWAS with linear models, linear mixed-effects models, or
Cox models. The package supports downstream visualization, bootstrap
validation, enrichment analysis, batch effect correction, and
differentially methylated region (DMR) analysis with optional parallel
computing. Methods are described in Wang et al. (2025)
<doi:10.1093/bioadv/vbaf026>, Johnson et al. (2007)
<doi:10.1093/biostatistics/kxj037>, and Peters et al. (2015)
<doi:10.1186/1756-8935-8-6>.
| Version: |
1.0.1 |
| Depends: |
R (≥ 4.4.0) |
| Imports: |
R6, boot, CMplot, ddpcr, doParallel, dplyr, foreach, lmerTest, magrittr, parallel, readxl, survival, tictoc, vroom, withr, R.utils, lubridate |
| Suggests: |
AnnotationHub, ExperimentHub, DMRcate, sva, BiocParallel, clusterProfiler, enrichplot, org.Hs.eg.db, knitr, rmarkdown |
| Published: |
2026-03-16 |
| DOI: |
10.32614/CRAN.package.easyEWAS (may not be active yet) |
| Author: |
Yuting Wang [aut, cre],
Xu Gao [aut] |
| Maintainer: |
Yuting Wang <ytwang at pku.edu.cn> |
| BugReports: |
https://github.com/ytwangZero/easyEWAS/issues |
| License: |
GPL (≥ 3) |
| URL: |
https://github.com/ytwangZero/easyEWAS,
https://easyewas-tutorial.github.io/ |
| NeedsCompilation: |
no |
| CRAN checks: |
easyEWAS results |
Documentation:
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