reference_map | R Documentation |
Calculates correlation between single-cell gene expression.
reference_map(object, ...)
## Default S3 method:
reference_map(
object,
reference_object,
query_meta = NULL,
reference_meta = NULL,
groups = NULL,
reduction = NULL,
method = "pearson",
genes_use = NULL,
allow_neg = FALSE,
pseudobulk_groups = TRUE
)
## S3 method for class 'Seurat'
reference_map(
object,
reference_object,
slot = "data",
assay = "RNA",
group_name = NULL,
reduction = "umap",
method = "pearson",
genes_use = NULL,
allow_neg = FALSE,
pseudobulk_groups = TRUE
)
object |
A matrix with query expression data. |
reference_object |
A matrix with reference expression data. |
reference_meta |
A data frame with reference metadata. |
groups |
A character or factor vector or for grouping of cells, e.g. clusters, cell types. |
method |
A character string indicating which correlation coefficient to compute. |
genes_use |
A character vector with genes to use for computing the correlation. We recommend to use 150 - 500 genes. |
allow_neg |
Logical. Whether to allow negative correlations or set them to 0. |
pseudobulk_groups |
Logical. Whether to summarize the group expression before computing the correlation. |
group_name |
A string indicating the metadata column for grouping the cells, e.g. clusters, cell types. |
A ReferenceMap object with a cell x cell correlation matrix and metadata.
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