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: 0.1.0
Depends: R (≥ 3.5.0), mvtnorm
Published: 2020-11-16
Author: Olga Vsevolozhskaya ORCID iD [aut], Dmitri Zaykin ORCID iD [aut], Xiaoran Tong ORCID iD [aut, cre]
Maintainer: Xiaoran Tong <tongxia1 at msu.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/xiaoran831213/dotgen
NeedsCompilation: no
CRAN checks: dotgen results

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Reference manual: dotgen.pdf
Package source: dotgen_0.1.0.tar.gz
Windows binaries: r-devel: dotgen_0.1.0.zip, r-release: dotgen_0.1.0.zip, r-oldrel: dotgen_0.1.0.zip
macOS binaries: r-release: dotgen_0.1.0.tgz, r-oldrel: dotgen_0.1.0.tgz

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