A collection of functions to implement the MixMAP algorithm, which performs gene level tests of association using data from a previous GWAS or data from a meta-analysis of several GWAS. Conceptually, genes are detected as significant if the collection of p-values within a gene are determined to be collectively smaller than would be observed by chance.
|Author||Gregory J. Matthews|
|Date of publication||2015-08-10 22:33:54|
|Maintainer||Gregory J. Matthews <firstname.lastname@example.org>|
MixMAPexample: A working example of the MixMAP algorithm.
MixMAPpackage: MixMAP: Mixed Modeling of Meta-Analysis P-values
mixmapPI: Implements the MixMAP algorithm using prediction intervals.
mixmapTest: Implements the MixMAP algorithm using hypothesis testing...
plot.MixMAP: Method for creating a MixManhattan plot.
summary.MixMAP: Summary of a 'MixMAP' object