Description Usage Arguments Value
View source: R/SingleR.Create.R
Wrapper function to create a SingleR object
1 2 3 | SingleR.CreateObject(sc.data, ref, clusters = NULL, species = "Human",
citation = "-", technology = "-", variable.genes = "de",
fine.tune = T, do.main.types = T, numCores = SingleR.numCores)
|
sc.data |
a matrix of single cell expression data |
ref |
a reference set object. This object must be a list containing: data - log2 normalized expression data; types - annotations for each of the samples; main_types - annotations for each of the samples, but less detailed; name - name for the reference set; sd.thres - a threshold for sd (used in 'sd' mode); de.genes - lists of lists of differentially expressed genes. Can be created using the CreateVariableGeneSet function. de.genes.main - lists of lists of differentially expressed genes. Can be created using the CreateVariableGeneSet function. |
clusters |
a numeric vector of cluster ids for each single cell. If NULL uses SingleR clustering. |
species |
The species of the sample ('Human' or 'Mouse'). |
citation |
a citation for the project. |
technology |
The technology used for creating the single-cell data. |
variable.genes |
variable gene method to use - 'sd' or 'de'. Default is 'de'. |
fine.tune |
perform fine tuning. Default is TRUE. Fine-tuning may take long to run. |
do.main.types |
if TRUE runs a main cell type annotation using the main_types annotation. |
numCores |
Number of cores to use. |
a SingleR objects
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