predictCells: Takes a Seurat Object and returns the Seurat Object with...
In kimberle9/rfca: Random Forest Cell Annotation of single-cell transcriptomics data
Description
Usage
Arguments
Value
Author(s)
Description
Takes a Seurat Object and returns the Seurat Object with predicted cell types as Idents
Usage
1
predictCells(seuratObj, rfModel = mouseBrain)
Arguments
seuratObj
Seurat Object.
rfModel
Random Forest Object from randomForest package. In-built options include mouseBrain (default), mouseLiver, mouseKidney, mouseHeart, mouseMuscle, humanPBMC. You can also use your own Random Forest object created with createRFModel().
Value
Seurat Object with predicted cell types as Idents and stored under "predictedCellType" metadata
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)
Description
Takes a Seurat Object and returns the Seurat Object with predicted cell types as Idents
Usage
1 | predictCells(seuratObj, rfModel = mouseBrain)
|
Arguments
seuratObj |
Seurat Object. |
rfModel |
Random Forest Object from randomForest package. In-built options include mouseBrain (default), mouseLiver, mouseKidney, mouseHeart, mouseMuscle, humanPBMC. You can also use your own Random Forest object created with createRFModel(). |
Value
Seurat Object with predicted cell types as Idents and stored under "predictedCellType" metadata
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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