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 <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

MixMAP

MixMAP/inst

MixMAP/inst/CITATION

MixMAP/NAMESPACE

MixMAP/data

MixMAP/data/MixMAP_example.RData

MixMAP/R

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

MixMAP/MD5

MixMAP/DESCRIPTION

MixMAP/man

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