Uses the model generated with train_transfer_model to predict the labels of new samples.
Usage
predict_labels(
fcd,
input_type,
data_slot,
fcd_model,
label = "predicted_labels",
seed = 91
)Arguments
- fcd
flow cytometry dataset.
- input_type
data to use for the calculation of the UMAP, e.g. "expr" or "pca".
- data_slot
name of the PCA data slot to use to harmonize. If no prefix was added the,
orig.- fcd_model
flow cytometry dataset containing Caret model for the label transfer.
- label
Label for the output column of the condor object which is saved in the clustering slot of the
fcd.- seed
A seed is set for reproducibility.