A small number of meta-analysis functions for comparing two gene expression experiments are provided.

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`d` |
A vector of t-statistics, i.e. the output of |

`n` |
The number of t-statistics. |

`data` |
The data used to compute t-statistics, either a |

`categ` |
A vector of 0's and 1's indicating group membership. |

`ng1` |
The number of samples in group 1. |

`ng2` |
The number of samples in group 2. |

The functions `getdF`

compute t-test statistics
for the input data and group membership (note that group membership
must be indicated by a vector of 0's and 1's).

The function `dstar`

computes an unbiased estimate of the t-test.
The function `sigmad`

computes the variance estimate of
`dstar`

.

The different functions have different return values, but generally they are vectors of the requested quantities.

L. Lusa, R. Gray and R. Gentleman

Choi et al, Combining multiple microarray studies and modeling interstudy variation. Bioinformatics, 2003, i84-i90.

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