Detection of differentially expressed genes.
Detects differentially expressed genes between two distinct groups of samples.
deg(treatment, control, alpha = 0.05)
Matrix of normalized expression levels in the first group. Rows represent genes, columns represent samples.
Matrix of normalized expression levels in the second group. Rows represent genes, columns represent samples.
Global significance level.
The function controlls the FWER at the specified alpha-level.
A vector with the row numbers of the genes detected as differentially expressed.
Jung K., Quast K., Gannoun A. and Urfer W. (2006) A renewed approach to the nonparametric analysis of replicated microarray experiments. Biometrical Journal, 48, 245-254.
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