View source: R/perform.seurat.diffexp.R
perform.diffexp | R Documentation |
Performs differential expression on the assay differentiating the supplied identities, some methods enable variable regression, including: LR, negbinom, poisson or MAST. This function compares one cluster vs all others
perform.diffexp( object, assay = NULL, test = "wilcox", identity = NULL, ident.1 = NULL, ident.2 = NULL, cells.1 = NULL, cells.2 = NULL, latent.vars = NULL, ... )
object |
An IBRAP class object |
assay |
Character. Which assay within the IBRAP object to access. Default = NULL |
test |
Character. Which test to use. Can be either: wilcox, bimod, roc, t, negbinom, poisson, LR, MAST, DESeq2. Please refer to Seurat::FindMarkers for more information. |
identity |
Vector. A vector of cell identifiers to distinguish cells. Default = NULL |
latent.vars |
Character. String(s) identifying which variables contained within the metadata to regress from the cells |
... |
arguments to pass to Seurat::FindMarkers |
A dataframe containing differentially expression genes and other information
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