This is a wrapper function for meta-analytical method called METRADISC that perform all steps of the analysis and return all the outputs in one line.
Usage
METRADISC(data, varname, nperm = 1000)
Arguments
data
MetaArray object
varname
Character String - name of one column in clinical data matrices to be used as class labels
nperm
Number of permutations for Monte Carlo permutation test, at least 1000 is suggested
Value
An object of class METRADISC.res containing
ranksRanks of the genes in each dataset
RQAverage rank (R) and measure of heterogeneity (Q) for each gene
MCtestFour p-values (for low and high R and low and high Q) for each gene as provided after Monte Carlo permutation test
References
Zintzaras, E., Ioannidis, J.P.A 2008 Meta-analysis for ranked discovery datasets: Theoretical framework and empirical demonstration for microarrays, Computational Biology and Chemistry 32, 39-47