pwrEWAS
pwrEWAS estimates power for two-group comparisons of DNA methylation (DNAm).
Key Features:
- Semi-parametric Simulation-Based Approach: Generates DNAm data from beta-distributions using CpG-specific means and variances.
- Customizable Parameters: Allows specification of tissue type, sample size, number of differentially methylated CpGs, effect sizes, target FDR, and statistical methods.
- Comprehensive Output Metrics: Reports marginal power, type I error rate, FDR, and false discovery cost (FDC).
Scientific Applications:
- EWAS Design: Helps researchers determine appropriate sample sizes for desired statistical power.
Methodology:
Simulates DNAm data from beta distributions using CpG-specific means and variances derived from existing datasets.
Topics
Details
- License:
- Artistic-2.0
- Maturity:
- Mature
- Cost:
- Free of charge
- Tool Type:
- api
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- R
- Added:
- 6/1/2019
- Last Updated:
- 11/24/2024
Operations
Publications
Graw S, Henn R, Thompson JA, Koestler DC. pwrEWAS: a user-friendly tool for comprehensive power estimation for epigenome wide association studies (EWAS). BMC Bioinformatics. 2019;20(1). doi:10.1186/s12859-019-2804-7. PMID:31035919. PMCID:PMC6489300.
PMID: 31035919
PMCID: PMC6489300
Funding: - National Institute of General Medical Sciences: P20GM103428
Documentation
Downloads
- Source codehttps://github.com/stefangraw/pwrEWASR package for pwrEWAS
Links
Issue tracker
https://github.com/stefangraw/pwrEWAS/issues