data(glm_coefs)
pred=list()
for (i in c(1:5)){
pred[[i]]=glm_coefs[[i*2]]
names(pred[[i]])=glm_coefs[[i*2-1]]
}
predictorGenes=unique(names(unlist(pred)))
classNames=c("naive","terminal_effector","exhausted","memory-like","cycling_effector")
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