classifyTestsF: Multiple Testing Genewise Across Contrasts

In variancePartition: Quantify and interpret divers of variation in multilevel gene expression experiments

Description

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

See Also

limma::classifyTestsF

variancePartition documentation built on Nov. 8, 2020, 5:18 p.m.