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