Predict a CD8 immune phenotype using RNA-Seq data.
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 NA
s.