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For each gene, classify a series of related t-statistics as up, down or not significant.

Usage

classifyTestsF(object, ...)

Arguments

object

numeric matrix of t-statistics or an 'MArrayLM2' object from which the t-statistics may be extracted.

...

additional arguments

Details

Works like limma::classifyTestsF, except object can have a list of covariance matrices object$cov.coefficients.list, instead of just one in object$cov.coefficients