createRFModel: Creates Random Forest model from Seurat Object's Idents
In kimberle9/rfca: Random Forest Cell Annotation of single-cell transcriptomics data
Description
Usage
Arguments
Value
Author(s)
View source: R/createRFModel.R
Description
Creates Random Forest model from Seurat Object's Idents
Usage
1
createRFModel(labelled.seurat.obj, nfeatures = 200)
Arguments
labelled.seurat.obj
Seurat Object where Idents are the labels for training. Typically cell type/cell state.
nfeatures
Number of most variable features to be used for training the Random Forest. Default 200.
Value
A list of two items, a Random Forest model and features used, to be used in predictCells()
Author(s)
Kimberle Shen
kimberle9/rfca documentation built on Oct. 8, 2020, 5:44 a.m.
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Description Usage Arguments Value Author(s)
View source: R/createRFModel.R
Description
Creates Random Forest model from Seurat Object's Idents
Usage
1 | createRFModel(labelled.seurat.obj, nfeatures = 200)
|
Arguments
labelled.seurat.obj |
Seurat Object where Idents are the labels for training. Typically cell type/cell state. |
nfeatures |
Number of most variable features to be used for training the Random Forest. Default 200. |
Value
A list of two items, a Random Forest model and features used, to be used in predictCells()
Author(s)
Kimberle Shen
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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