Description Usage Arguments Value Author(s) References See Also Examples

This is a wrapper function for effect size or p-value combination as implemented in metaMA package.

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`data` |
MetaArray object containing gene expression data matrices, clinical data matrices and a vector of data set names. The gene expression data matrices must have equal rownames |

`varname` |
Character String - name of one column in clinical data matrices to be used as class labels |

`moderated` |
Character - method to calculate the test statistic (or p-value) inside each study, one of: "limma", "SMVar" and "t" |

`BHth` |
Numeric - threshold for Benjamini Hochenberg adjusted p-values for selection of significant genes in meta-analysis |

`which` |
Character - choose |

An object of class `"metaMA.res"`

. It is a list where:

`Study1` |
Vector of indices of differentially expressed genes in study 1. Similar names are given for the other individual studies. |

`AllIndStudies` |
Vector of indices of differentially expressed genes found by at least one of the individual studies. |

`Meta` |
Vector of indices of differentially expressed genes in the meta-analysis. |

`TestStatistic` |
Vector with test statistics for differential expression in the meta-analysis. |

Ivana Ihnatova

Marot, G., Foulley, J.-L., Mayer, C.-D., Jaffrezic, F. Moderated effect size and p-value combinations for microarray meta-analyses.

`pvalcombination`

, `EScombination`

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