After getting the rank values, data will be passed into `getPAM50` which uses a trained PAMR model for prediction. This will give a single PAM50 subtype prediction for each sample, it also provides the prediction probability for all 5 subtypes per patient.
getPAM50(df)
| df | dataframe, rows are genes columns are samples. Row names has to be EntrezID. |
|---|