Project query data to the reference dimensional reduction
ProjectCellEmbeddings(query, ...)# S3 method for Seurat
ProjectCellEmbeddings(
query,
reference,
query.assay = NULL,
reference.assay = NULL,
reduction = "pca",
dims = 1:50,
normalization.method = c("LogNormalize", "SCT"),
scale = TRUE,
verbose = TRUE,
nCount_UMI = NULL,
feature.mean = NULL,
feature.sd = NULL,
...
)
# S3 method for Assay
ProjectCellEmbeddings(
query,
reference,
reference.assay = NULL,
reduction = "pca",
dims = 1:50,
scale = TRUE,
normalization.method = NULL,
verbose = TRUE,
nCount_UMI = NULL,
feature.mean = NULL,
feature.sd = NULL,
...
)
# S3 method for SCTAssay
ProjectCellEmbeddings(
query,
reference,
reference.assay = NULL,
reduction = "pca",
dims = 1:50,
scale = TRUE,
normalization.method = NULL,
verbose = TRUE,
nCount_UMI = NULL,
feature.mean = NULL,
feature.sd = NULL,
...
)
# S3 method for StdAssay
ProjectCellEmbeddings(
query,
reference,
reference.assay = NULL,
reduction = "pca",
dims = 1:50,
scale = TRUE,
normalization.method = NULL,
verbose = TRUE,
nCount_UMI = NULL,
feature.mean = NULL,
feature.sd = NULL,
...
)
# S3 method for default
ProjectCellEmbeddings(
query,
reference,
reference.assay = NULL,
reduction = "pca",
dims = 1:50,
scale = TRUE,
normalization.method = NULL,
verbose = TRUE,
features = NULL,
nCount_UMI = NULL,
feature.mean = NULL,
feature.sd = NULL,
...
)
# S3 method for IterableMatrix
ProjectCellEmbeddings(
query,
reference,
reference.assay = NULL,
reduction = "pca",
dims = 1:50,
scale = TRUE,
normalization.method = NULL,
verbose = TRUE,
features = features,
nCount_UMI = NULL,
feature.mean = NULL,
feature.sd = NULL,
block.size = 10000,
...
)
A matrix with projected cell embeddings
An object for query cells
An object for reference cells
Assay name for query object
Assay name for reference object
Name of dimensional reduction from reference object
Dimensions used for reference dimensional reduction
Determine if scale query data based on reference data variance
Print progress
Mean of features in reference
Standard variance of features in reference