Package: ReAD 1.0.1
Yan Li
ReAD: Powerful Replicability Analysis of Genome-Wide Association Studies
A robust and powerful approach is developed for replicability analysis of two Genome-wide association studies (GWASs) accounting for the linkage disequilibrium (LD) among genetic variants. The LD structure in two GWASs is captured by a four-state hidden Markov model (HMM). The unknowns involved in the HMM are estimated by an efficient expectation-maximization (EM) algorithm in combination with a non-parametric estimation of functions. By incorporating information from adjacent locations via the HMM, this approach identifies the entire clusters of genotype-phenotype associated signals, improving the power of replicability analysis while effectively controlling the false discovery rate.
Authors:
ReAD_1.0.1.tar.gz
ReAD_1.0.1.tar.gz(r-4.5-noble)ReAD_1.0.1.tar.gz(r-4.4-noble)
ReAD_1.0.1.tgz(r-4.4-emscripten)ReAD_1.0.1.tgz(r-4.3-emscripten)
ReAD.pdf |ReAD.html✨
ReAD/json (API)
| # Install 'ReAD' in R: |
| install.packages('ReAD', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 1 years agofrom:ded0a60a71. Checks:OK: 1 NOTE: 1. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 08 2024 |
| R-4.5-linux-x86_64 | NOTE | Dec 08 2024 |
Dependencies:clicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigplyrqvalueR6RColorBrewerRcppRcppArmadilloreshape2rlangscalesstringistringrtibbleutf8vctrsviridisLitewithr
