Run Linear Discriminant Analysis
Run Linear Discriminant Analysis
Function to perform Linear Discriminant Analysis.
RunLDA(object, ...) ## Default S3 method: RunLDA( object, labels, assay = NULL, verbose = TRUE, ndims.print = 1:5, nfeatures.print = 30, reduction.key = "LDA_", seed = 42, ... ) ## S3 method for class 'Assay' RunLDA( object, assay = NULL, labels, features = NULL, verbose = TRUE, ndims.print = 1:5, nfeatures.print = 30, reduction.key = "LDA_", seed = 42, ... ) ## S3 method for class 'Seurat' RunLDA( object, assay = NULL, labels, features = NULL, reduction.name = "lda", reduction.key = "LDA_", seed = 42, verbose = TRUE, ndims.print = 1:5, nfeatures.print = 30, ... )
object |
An object of class Seurat. |
... |
Arguments passed to other methods |
labels |
Meta data column with target gene class labels. |
assay |
Assay to use for performing Linear Discriminant Analysis (LDA). |
verbose |
Print the top genes associated with high/low loadings for the PCs |
ndims.print |
Number of LDA dimensions to print. |
nfeatures.print |
Number of features to print for each LDA component. |
reduction.key |
Reduction key name. |
seed |
Value for random seed |
features |
Features to compute LDA on |
reduction.name |
dimensional reduction name, lda by default |
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