Description Usage Arguments Value
View source: R/SingleR.Create.R
Wrapper function to create a Seurat object
1 2 3 | SingleR.CreateSeurat(project.name, sc.data, min.genes = 200,
min.cells = 2, regress.out = "nUMI", npca = 10, resolution = 0.8,
temp.dir = NULL)
|
project.name |
the project name |
sc.data |
a matrix of single cell expression data |
min.genes |
Include cells where at least this many genes are detected. |
min.cells |
include genes with detected expression in at least this many cells. Will subset the raw.data matrix as well. To reintroduce excluded genes, create a new object with a lower cutoff. |
regress.out |
variables to regress out (previously latent.vars in RegressOut). For example, nUMI, or percent.mito. |
npca |
a vector of the dimensions to use in construction of the clustering and tSNE plot |
resolution |
clustering resolution. See Seurat manual for more details. |
temp.dir |
used by FindClusters function. |
a Seurat object
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