R/TILClassifier.R

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")
GfellerLab/TILAtlas documentation built on May 17, 2019, 8:03 a.m.