RFclassifier: Random Forest Classifcation for single-cell expression data...

In zktuong/kelvinny: Kelvinny The Incredible!

Random Forest Classifcation for single-cell expression data or just general matrix

Description

Random Forest Classifcation for single-cell expression data or just general matrix

Usage

RFclassifier(
  training,
  training.genes = NULL,
  training.classes = NULL,
  verbose = TRUE,
  probability = FALSE,
  ...
)

Arguments

training	training expression matrix.
training.genes	training genes to build classifier.
training.classes	training classes to build classifier.
verbose	verbosity.
probability	Default = FALSE, which returns class when predicting. Otherwise TRUE returns probability estimates.
...	pass to ranger::ranger.

Value

Training random forest classification model.

Examples

classifier <- RFclassifier(train.seurat, training.classes = train.seurat@ident, importance = "impurity")
prediction <- RFpredictor(classifier, test@data)

zktuong/kelvinny documentation built on July 18, 2024, 10:42 a.m.