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) .


Reference manual

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0.1.0 by Xiaoran Tong, a year ago

Browse source code at

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

Documentation:   PDF Manual  

GPL (>= 2) license

Depends on mvtnorm

See at CRAN