comp.modt returns a function of one argument with bindings for
L. This function accepts a microarray data matrix as its single
argument, when evaluated, computes moderated t-statistics by empirical Bayes
shrinkage of the standard error toward a common value.
A vector of integers corresponding to observation (column) class labels. For k classes, the labels must be integers between 0 and k-1.
The function returned by
comp.modt computes moderated t
statistics for the assessment of differential expression. It
interfaces to a C function.
comp.stat is another
function that wraps around the same C function that could be used for
computing moderated t statistics. For details of moderated statistics,
see Smyth (2003).
comp.modt returns a function (F) with the bindings for
L. The function F when supplied with a microarray data matrix
and evaluated will return a numeric vector of moderated t statistics
for each row of the matrix.
Lonnstedt, I. and Speed, T. P. (2002). Replicated microarray data. Statistica Sinica 12, 31-46.
Smyth, G. K. (2003). Linear models and empirical Bayes methods for assessing differential expression in microarray experiments. http://www.statsci.org/smyth/pubs/ebayes.pdf
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