AnnotationPairwiseMatrix | R Documentation |
Single-cell Annotation Pairwise Matrix
Single-cell Annotation Pairwise Matrix
Base class for matrix-like data storing pairwise relationships with rows and
columns aligned to either the observations or features of X
(AssayMatrix
).
tiledbsc::TileDBObject
-> tiledbsc::TileDBArray
-> tiledbsc::AnnotationArray
-> AnnotationPairwiseMatrix
tiledbsc::TileDBObject$class()
tiledbsc::TileDBObject$exists()
tiledbsc::TileDBArray$add_metadata()
tiledbsc::TileDBArray$array_exists()
tiledbsc::TileDBArray$attributes()
tiledbsc::TileDBArray$attrnames()
tiledbsc::TileDBArray$dimensions()
tiledbsc::TileDBArray$dimnames()
tiledbsc::TileDBArray$fragment_count()
tiledbsc::TileDBArray$get_metadata()
tiledbsc::TileDBArray$initialize()
tiledbsc::TileDBArray$print()
tiledbsc::TileDBArray$reset_query()
tiledbsc::TileDBArray$schema()
tiledbsc::TileDBArray$set_query()
tiledbsc::TileDBArray$tiledb_array()
from_matrix()
Ingest annotation matrix
AnnotationPairwiseMatrix$from_matrix(x, index_cols, value_col = "value")
x
any matrix
-like object coercible to a
TsparseMatrix
with string dimensions.
index_cols
Names to use for the TileDB array's dimensions that will contain the matrix row/column names.
value_col
Name to use for the TileDB array's attribute that will contain the matrix values.
to_matrix()
Read annotation data from TileDB into a matrix
AnnotationPairwiseMatrix$to_matrix()
A matrix
to_dataframe()
Read annotation data from TileDB into a data frame
AnnotationPairwiseMatrix$to_dataframe(attrs = NULL)
attrs
Specify one or more attributes to retrieve. If NULL
,
all attributes are retrieved.
A data.frame
to_sparse_matrix()
Read annotation data from TileDB into a sparse matrix
AnnotationPairwiseMatrix$to_sparse_matrix()
A Matrix::dgTMatrix
.
to_seurat_graph()
Read annotation data from TileDB into Seurat Graph
AnnotationPairwiseMatrix$to_seurat_graph()
A SeuratObject::Graph
clone()
The objects of this class are cloneable with this method.
AnnotationPairwiseMatrix$clone(deep = FALSE)
deep
Whether to make a deep clone.
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