This function uses the model trained with *train_classifier_model* to predict the clinical classification of new samples. This function uses the *CytoDx* framework.
Usage
predict_classifier(
fcd,
input_type,
data_slot,
sample_names = "expfcs_filename",
model_object,
seed = 91
)Arguments
- fcd
flow cytometry data set.
- input_type
data to use for the calculation, e.g. "expr" (suggested option).
- data_slot
Name of the data slot to use for the classification, suggested options are "orig" or "norm".
- sample_names
Column name of the metadata table containing the file names.
- model_object
flow cytometry data set with the stored classifier model.
- seed
A seed is set for reproducibility.
Details
Predict Clinical Classifier
`predict_classifier()` is a wrapper function around CytoDx.pred implemented in the package *CytoDx*.
The user can specify all the parameters available for the CytoDx.pred functions, arguments description were copied from the documentation of the *CytoDx* package.
The function output a *condor* object including the predicted labels in the *extras* slot.