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]
(<https://orcid.org/0000-0001-9376-3645>),
Dmitri Zaykin
[aut] (<https://orcid.org/0000-0002-9444-2859>),
Xiaoran Tong
[aut, cre] (<https://orcid.org/0000-0002-4648-3330>) |
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:
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