I want to identify DEGs from 79 samples of GSE75693 selected based on the threshold P < 0.01 and fold change >2.0.
But my code showing following error :
Error in getEAWP(object) : data object isn't of a recognized data class
Code :
gset <- getGEO("GSE75693", GSEMatrix =TRUE, getGPL=FALSE)
gr<-c(rep("Tumor",3),("Normal"),rep("Tumor",7),("Normal"),rep("Tumor",21),rep("Normal",4) + ,rep("Tumor",5),("Normal"),rep("Tumor",17),rep("Normal",2),("Tumor"),("Normal"),rep("Tumor",2), + ("Normal"),("Tumor"))
gr<-factor(gr)
gset$description<-gr
design<-model.matrix(~description+0,gset)
colnames(design)<-levels(gr)
levels(gr)
fit<-lmFit(gset,design)
I also want to know how i can i design contrast matrix?
thanks brother but when i try to run fit <- lmFit(gset$GSE75693, design)
it gives me the following error : Error in array(x, c(length(x), 1L), if (!is.null(names(x))) list(names(x), : 'data' must be of a vector type, was 'NULL'
That error could only occur if the data object (the first argument of
lmFit) was NULL, which could not be the case if you have run the code you claim to have run.brother plz help me. I want to identify DEGs from 79 samples of GSE75693 selected based on the threshold P < 0.01 and fold change >2.0.