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