Classify new data based on the cluster information of the provided object. Random Forests are used as the basis of the classification.
ClassifyCells(object, classifier, training.genes = NULL,
training.classes = NULL, new.data = NULL, ...)
Seurat object on which to train the classifier
Random Forest classifier from BuildRFClassifier. If not provided, it will be built from the training data provided.
Vector of genes to build the classifier on
Vector of classes to build the classifier on
New data to classify
additional parameters passed to ranger
Vector of cluster ids