RunPrestoAll | R Documentation |
Finds markers (Wilcoxon-differentially expressed genes) for each of the identity classes in a dataset
RunPrestoAll(
object,
assay = NULL,
features = NULL,
logfc.threshold = 0.25,
test.use = "wilcox",
slot = "data",
min.pct = 0.1,
min.diff.pct = -Inf,
node = NULL,
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,
return.thresh = 0.01,
...
)
assay |
Assay to use in differential expression testing |
slot |
Slot to pull data from; note that if |
node |
A node to find markers for and all its children; requires
|
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. |
return.thresh |
Only return markers that have a p-value < return.thresh, or a power > return.thresh (if the test is ROC) |
Matrix containing a ranked list of putative markers, and associated statistics (p-values, logFC, etc.)
https://github.com/immunogenomics/presto
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