RFpredictor: Random Forest Classifcation for single-cell expression data...
In zktuong/kelvinny: Kelvinny The Incredible!
Description
Usage
Arguments
Value
Examples
Description
Random Forest Classifcation for single-cell expression data or just general matrix
Usage
1
RFpredictor(classifier, test, ...)
Arguments
classifier
trained RF classifier.
test
test expression matrix.
...
pass to predict.ranger.
Value
Predicting using random forest classification.
Examples
1
2
classifier <- RFclassifier(seurat, training.classes = seurat@ident, importance = "impurity")
prediction <- RFpredictor(classifier, test@data)
zktuong/kelvinny documentation built on Oct. 22, 2020, 1:27 p.m.
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Description Usage Arguments Value Examples
Description
Random Forest Classifcation for single-cell expression data or just general matrix
Usage
1 | RFpredictor(classifier, test, ...)
|
Arguments
classifier |
trained RF classifier. |
test |
test expression matrix. |
... |
pass to predict.ranger. |
Value
Predicting using random forest classification.
Examples
1 2 | classifier <- RFclassifier(seurat, training.classes = seurat@ident, importance = "impurity")
prediction <- RFpredictor(classifier, test@data)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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