README.md
In gjm112/MixMAP: Implements the MixMAP Algorithm
MixMAP
This package contains 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.
The function mixmapPI implements the version of MixMAP described in Foulkes et al. 2013. However, the function mixmapTest implements an updated version of MixMAP that is less sensitive to the number of SNPs within a gene. Therefore, we suggest using mixmapTest rather than mixmapPI.
gjm112/MixMAP documentation built on May 17, 2019, 6:03 a.m.
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MixMAP
This package contains 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.
The function mixmapPI implements the version of MixMAP described in Foulkes et al. 2013. However, the function mixmapTest implements an updated version of MixMAP that is less sensitive to the number of SNPs within a gene. Therefore, we suggest using mixmapTest rather than mixmapPI.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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