Description Usage Arguments Examples
This function is a modified version of limma gls.series function. We changed to gls.series function to include model residuals that are computed after removing variation due to the random effect component. Otherwise, no changes was made to the gls.series algorithm.
1 2 |
M |
Data matrix of genes by samples. |
design |
Design matrix of the model fixed effects. |
block |
A vector that uniquely identifies levels of each random effect. |
correlation |
Consensus correlation coefficient describing the average correlation between biological replicates. This is usually computed via the duplicateCorrelation() function in the limma package. |
1 |
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.