dotgen: Gene-Set Analysis via Decorrelation by Orthogonal Transformation

Decorrelates a set of summary statistics (i.e., Z-scores or P-values per SNP) via Decorrelation by Orthogonal Transformation (DOT) approach and performs gene-set analyses by combining transformed statistic values; operations are performed with algorithms that rely only on the association summary results and the linkage disequilibrium (LD). For more details on DOT and its power, see Olga (2020) <doi:10.1371/journal.pcbi.1007819>.

Version:	0.1.1
Depends:	R (≥ 3.5.0), mvtnorm
Published:	2024-10-27
DOI:	10.32614/CRAN.package.dotgen
Author:	Olga Vsevolozhskaya [aut], Dmitri Zaykin [aut], Xiaoran Tong [aut, cre]
Maintainer:	Xiaoran Tong <xt at uky.edu>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL:	https://github.com/xiaoran831213/dotgen
NeedsCompilation:	no
CRAN checks:	dotgen results

Documentation:

Downloads:

Linking:

Please use the canonical form https://CRAN.R-project.org/package=dotgen to link to this page.