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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.1 |
rolling linux/jammy R-4.5 | ReAD_1.0.1.tar.gz |
6.9 KiB |
1.0.1 |
rolling linux/noble R-4.5 | ReAD_1.0.1.tar.gz |
6.9 KiB |
1.0.1 |
rolling source/ R- | ReAD_1.0.1.tar.gz |
6.9 KiB |
1.0.1 |
latest linux/jammy R-4.5 | ReAD_1.0.1.tar.gz |
6.9 KiB |
1.0.1 |
latest linux/noble R-4.5 | ReAD_1.0.1.tar.gz |
6.9 KiB |
1.0.1 |
latest source/ R- | ReAD_1.0.1.tar.gz |
6.9 KiB |
1.0.1 |
2026-04-26 source/ R- | ReAD_1.0.1.tar.gz |
6.9 KiB |
1.0.1 |
2026-04-23 source/ R- | ReAD_1.0.1.tar.gz |
6.9 KiB |
1.0.1 |
2025-04-20 source/ R- | ReAD_1.0.1.tar.gz |
6.9 KiB |