View source: R/02_FindMarker.R
| FindMarker.CellDEEP | R Documentation |
It can run Seurat DE directly or first aggregate cells into metacells using CellDEEP pooling.
FindMarker.CellDEEP(
object,
ident.1 = NULL,
ident.2 = NULL,
group.by = "group_id",
sample_id = NULL,
group_id = NULL,
cluster_id = NULL,
prepare = TRUE,
test.use = "wilcox",
Pool = TRUE,
readcounts = "sum",
n_cells = 10,
assay = "RNA",
min_cells_per_subgroup = 25,
cell_selection = "kmean",
name.only = TRUE,
logfc.threshold = 0.25,
min.pct = 0.01,
p_cutoff = 0.05,
full_list = FALSE,
...
)
object |
A Seurat object. |
ident.1 |
Character. First identity group to compare. |
ident.2 |
Character. Second identity group to compare. |
group.by |
Character. Metadata column used for grouping (default |
sample_id |
Character. Input metadata column for sample IDs. |
group_id |
Character. Input metadata column for group IDs. |
cluster_id |
Character. Input metadata column for cluster IDs. |
prepare |
Logical. If TRUE, run |
test.use |
Character. DE test to use. |
Pool |
Logical. If TRUE, perform CellDEEP pooling before DE (default TRUE). |
readcounts |
Character. Pool aggregation method: |
n_cells |
Integer. Target number of cells per pool. |
assay |
Character. Assay to use (default |
min_cells_per_subgroup |
Integer. Minimum cells in each sample-cluster subgroup required for pooling. |
cell_selection |
Character. Pooling strategy: |
name.only |
Logical. If TRUE, return gene names only. |
logfc.threshold |
Numeric. Minimum log fold-change. |
min.pct |
Numeric. Minimum detection rate. |
p_cutoff |
Numeric. Adjusted p-value threshold. |
full_list |
Logical. If TRUE, return all genes regardless of p-value. |
... |
Additional arguments passed to |
A vector of gene names or a DE data.frame.
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