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) .


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install.packages("dotgen")

0.1.0 by Xiaoran Tong, a year ago


https://github.com/xiaoran831213/dotgen


Browse source code at https://github.com/cran/dotgen


Authors: Olga Vsevolozhskaya [aut] , Dmitri Zaykin [aut] , Xiaoran Tong [aut, cre]


Documentation:   PDF Manual  


GPL (>= 2) license


Depends on mvtnorm


See at CRAN