Calculate log fold change and percentage of cells expressing each feature for different identity classes.
FoldChange(object, ...)# S3 method for default
FoldChange(object, cells.1, cells.2, mean.fxn, fc.name, features = NULL, ...)
# S3 method for Assay
FoldChange(
object,
cells.1,
cells.2,
features = NULL,
slot = "data",
pseudocount.use = 1,
fc.name = NULL,
mean.fxn = NULL,
base = 2,
norm.method = NULL,
...
)
# S3 method for SCTAssay
FoldChange(
object,
cells.1,
cells.2,
features = NULL,
slot = "data",
pseudocount.use = 1,
fc.name = NULL,
mean.fxn = NULL,
base = 2,
...
)
# S3 method for DimReduc
FoldChange(
object,
cells.1,
cells.2,
features = NULL,
slot = NULL,
pseudocount.use = 1,
fc.name = NULL,
mean.fxn = NULL,
...
)
# S3 method for Seurat
FoldChange(
object,
ident.1 = NULL,
ident.2 = NULL,
group.by = NULL,
subset.ident = NULL,
assay = NULL,
slot = "data",
reduction = NULL,
features = NULL,
pseudocount.use = 1,
mean.fxn = NULL,
base = 2,
fc.name = NULL,
...
)
Returns a data.frame
A Seurat object
Arguments passed to other methods
Vector of cell names belonging to group 1
Vector of cell names belonging to group 2
Function to use for fold change or average difference calculation
Name of the fold change, average difference, or custom function column in the output data.frame
Features to calculate fold change for. If NULL, use all features
Slot to pull data from
Pseudocount to add to averaged expression values when calculating logFC.
The base with respect to which logarithms are computed.
Normalization method for mean function selection
when slot
is “data
”
Identity class to calculate fold change for; pass an object of class
phylo
or 'clustertree' to calculate fold change for a node in a cluster tree;
passing 'clustertree' requires BuildClusterTree
to have been run
A second identity class for comparison; if NULL
,
use all other cells for comparison; if an object of class phylo
or
'clustertree' is passed to ident.1
, must pass a node to calculate fold change for
Regroup cells into a different identity class prior to
calculating fold change (see example in FindMarkers
)
Subset a particular identity class prior to regrouping.
Only relevant if group.by is set (see example in FindMarkers
)
Assay to use in fold change calculation
Reduction to use - will calculate average difference on cell embeddings
If the slot is scale.data
or a reduction is specified, average difference
is returned instead of log fold change and the column is named "avg_diff".
Otherwise, log2 fold change is returned with column named "avg_log2_FC".
FindMarkers
if (FALSE) {
data("pbmc_small")
FoldChange(pbmc_small, ident.1 = 1)
}
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