FastRPCAIntegration | R Documentation |
This is a convenience wrapper function around the following three functions
that are often run together when perform integration.
#' FindIntegrationAnchors
, RunPCA
,
IntegrateEmbeddings
.
FastRPCAIntegration(
object.list,
reference = NULL,
anchor.features = 2000,
k.anchor = 20,
dims = 1:30,
scale = TRUE,
normalization.method = c("LogNormalize", "SCT"),
new.reduction.name = "integrated_dr",
npcs = 50,
findintegrationanchors.args = list(),
verbose = TRUE
)
object.list |
A list of |
reference |
A vector specifying the object/s to be used as a reference
during integration. If NULL (default), all pairwise anchors are found (no
reference/s). If not NULL, the corresponding objects in |
anchor.features |
Can be either:
|
k.anchor |
How many neighbors (k) to use when picking anchors |
dims |
Which dimensions to use from the CCA to specify the neighbor search space |
scale |
Whether or not to scale the features provided. Only set to FALSE if you have previously scaled the features you want to use for each object in the object.list |
normalization.method |
Name of normalization method used: LogNormalize or SCT |
new.reduction.name |
Name of integrated dimensional reduction |
npcs |
Total Number of PCs to compute and store (50 by default) |
findintegrationanchors.args |
A named list of additional arguments to
|
verbose |
Print messages and progress |
Returns a Seurat object with integrated dimensional reduction
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