| sc3_run_svm {SC3} | R Documentation |
SVM approach.This method parallelize SVM prediction for each k (the number
of clusters). Namely, for each k, support_vector_machines
function is utilized to predict the labels of study cells. Training cells are
selected using svm_train_inds item of the sc3 slot of the
metadata(object).
sc3_run_svm.SingleCellExperiment(object, ks) ## S4 method for signature 'SingleCellExperiment' sc3_run_svm(object, ks = NULL)
object |
an object of |
ks |
a continuous range of integers - the number of clusters |
Results are written to the sc3_k_clusters columns to the
colData slot of the input object, where k is the
number of clusters.
an object of SingleCellExperiment class