RunPresto | R Documentation |
A Presto-based implementation of FindMarkers that runs Wilcoxon tests for the given identity classes
RunPresto(
object,
ident.1 = NULL,
ident.2 = NULL,
group.by = NULL,
subset.ident = NULL,
assay = NULL,
slot = "data",
reduction = NULL,
features = NULL,
logfc.threshold = 0.25,
test.use = "wilcox",
min.pct = 0.1,
min.diff.pct = -Inf,
verbose = TRUE,
only.pos = FALSE,
max.cells.per.ident = Inf,
random.seed = 1,
latent.vars = NULL,
min.cells.feature = 3,
min.cells.group = 3,
mean.fxn = NULL,
fc.name = NULL,
base = 2,
...
)
ident.1 |
Identity class to define markers for; pass an object of class
|
ident.2 |
A second identity class for comparison; if |
group.by |
Regroup cells into a different identity class prior to performing differential expression (see example) |
subset.ident |
Subset a particular identity class prior to regrouping. Only relevant if group.by is set (see example) |
assay |
Assay to use in differential expression testing |
slot |
Slot to pull data from; note that if |
reduction |
Reduction to use in differential expression testing - will test for DE on cell embeddings |
mean.fxn |
Function to use for fold change or average difference calculation. If NULL, the appropriate function will be chose according to the slot used |
fc.name |
Name of the fold change, average difference, or custom function column in the output data.frame. If NULL, the fold change column will be named according to the logarithm base (eg, "avg_log2FC"), or if using the scale.data slot "avg_diff". |
base |
The base with respect to which logarithms are computed. |
https://github.com/immunogenomics/presto
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