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.

Install the latest version of this package by entering the following in R:

`install.packages("MixMAP")`

Author | Gregory J. Matthews |

Date of publication | 2015-08-10 22:33:54 |

Maintainer | Gregory J. Matthews <gjm112@gmail.com> |

License | GPL-3 |

Version | 1.3.4 |

**MixMAPclass:** MixMAP-class

**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

inst

inst/CITATION

NAMESPACE

data

data/MixMAP_example.RData

R

R/mixmapPI.R
R/summary.MixMAP.R
R/MixMAPclass.R
R/plot.MixMAP.R
R/mixmapTest.R
README.md

MD5

DESCRIPTION

man

man/mixmapPI.Rd
man/MixMAPexample.Rd
man/summary.MixMAP.Rd
man/MixMAPclass.Rd
man/plot.MixMAP.Rd
man/mixmapTest.Rd
man/MixMAPpackage.Rd
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