Hi,

I'm new to R, and i want to use the R software package Limma to compute some
tests for differential gene expression.  However, my data is in a
matrix-style format (with the Huber variance stabilization transform
applied), where columns are samples, and rows are genes - what would the
easiest way to use this package be?  The R interface seems to only work well
when the data is available in GPR format?

Thanks for any help you can provide,

Markus

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