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-4.7-arm64)ReAD_1.0.1.tar.gz(r-4.7-x86_64)ReAD_1.0.1.tar.gz(r-4.6-arm64)ReAD_1.0.1.tar.gz(r-4.6-x86_64)
ReAD_1.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
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 from:ded0a60a71. Checks:4 NOTE, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | NOTE | 130 | ||
| linux-devel-x86_64 | NOTE | 133 | ||
| source / vignettes | OK | 181 | ||
| linux-release-arm64 | NOTE | 131 | ||
| linux-release-x86_64 | NOTE | 137 | ||
| wasm-release | OK | 114 |
Dependencies:clicpp11farverggplot2gluegtableisobandlabelinglifecyclemagrittrplyrqvalueR6RColorBrewerRcppRcppArmadilloreshape2rlangS7scalesstringistringrvctrsviridisLitewithr
