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Predict a CD8 immune phenotype using RNA-Seq data.

Usage

predict_cd8ip(df)

Arguments

df

a data.frame with each row corresponding to a single observation. This data.frame should have all the columns available in the cd8ip_features_distribution. Feature values should be based on the DESeq2::vst() transformation.

Value

a data.frame() with class probabilities (prob.inflamed, prob.excluded, prob.desert) and the most-likely class predicted.class. The n_out_of_range column indicates how many out of range features were in the sample. In case more than 6 features are out of range, the predictions will be NAs.