I am interested in testing the combiroc model generated on my cohort (proteomic data, n= 100), and towards this end, I have made a 70/30 split of my cohort for training and validation. Using the signalthr suggested by the marker_distribtuion() and with combithr = 2, I am able to see four different marker combinations with good AUC (>0.8) and SE and SP. When I then use this Modeland Metrics to classify the validation cohort (30 split), the combiscore() for these marker combinations is NA. The single markers are able to classify the samples. Why might this be? TIA :)
I am interested in testing the combiroc model generated on my cohort (proteomic data, n= 100), and towards this end, I have made a 70/30 split of my cohort for training and validation. Using the
signalthrsuggested by themarker_distribtuion()and withcombithr = 2, I am able to see four different marker combinations with good AUC (>0.8) and SE and SP. When I then use thisModelandMetricsto classify the validation cohort (30 split), thecombiscore()for these marker combinations isNA. The single markers are able to classify the samples. Why might this be? TIA :)