Hi,
I would like to use the CMA package to find a classifier among gene expression data from 2 groups.
I have a normalized and filtered microarray gene expression data file, and a vector containing the sample group information. I am able to generate learning sets (by fiveCVdat <- GenerateLearningsets(y = data.type.cl, method = "CV", fold = 5, strat = TRUE)
), but when I want to perform gene selection by varsel_fiveCV <- GeneSelection(X = data, y = data.type.cl, learningsets = fiveCVdat, method = "wilcox.test")
I get this error:
Error in (function (classes, fdef, mtable) :
unable to find an inherited method for function 'GeneSelection' for signature '"data.frame", "character", "missing"'
The golubX data used in the CMA package tutorial looks different than mine: this is a part from the golubX data
and this is how my data looks like:
Does anyone has experience with the CMA package and this error?
Thank you very much for your help!
Kind regards,
Line