dstar: Tools for Meta-analysis of gene expression data.
In GeneMeta: MetaAnalysis for High Throughput Experiments

Description Usage Arguments Details Value Author(s) References Examples

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

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dstar(d, n)
getdF(data, categ)
sigmad(d, ng1, ng2)

`d`	A vector of t-statistics, i.e. the output of `getdF`.
`n`	The number of t-statistics.
`data`	The data used to compute t-statistics, either a `matrix` or an `ExpressionSet`.
`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.

  x = matrix(rnorm(1000), ncol=10)
  ds = getdF(x, rep(c(0,1), c(5,5)))
  dst = dstar(ds, ncol(x))
  sgd = sigmad(ds, 5, 5)

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