View source: R/Celltype_annotation_Cellmarker2.R
Celltype_annotation_Cellmarker2 | R Documentation |
Uses "marker_list" from Cellmarker2 for cell annotation
Celltype_annotation_Cellmarker2(
seurat_obj,
gene_list,
species,
cluster_col = "seurat_clusters",
assay = "RNA",
save_path = NULL,
min_counts = 1,
colour_low = "white",
colour_high = "navy",
colour_low_mertic = "white",
colour_high_mertic = "navy"
)
seurat_obj |
Enter the Seurat object with annotation columns such as "seurat_cluster" in meta.data to be annotated. |
gene_list |
Enter the standard "Marker_list" generated by the Cellmarker2 database for the SlimR package, generated by the "Markers_filter_Cellmarker2 ()" function. |
species |
This parameter selects the species "Human" or "Mouse" for standard gene format correction of markers entered by "Marker_list". |
cluster_col |
Enter annotation columns such as "seurat_cluster" in meta.data of the Seurat object to be annotated. Default parameters use "cluster_col = 'seurat_clusters'". |
assay |
Enter the assay used by the Seurat object, such as "RNA". Default parameters use "assay = "RNA"". |
save_path |
The output path of the cell annotation picture. Example parameters use "save_path = './SlimR/Celltype_annotation_Cellmarker2/'". |
min_counts |
The minimum number of counts of genes in "Marker_list" entered. This number represents the number of the same gene in the same species and the same location in the Cellmarker2 database used for annotation of this cell type. Default parameters use "min_counts = 1". |
colour_low |
Color for lowest expression level. (default = "white") |
colour_high |
Color for highest expression level. (default = "black") |
colour_low_mertic |
Color for lowest mertic level. (default = "white") |
colour_high_mertic |
Color for highest mertic level. (default = "black") |
The cell annotation picture is saved in "save_path".
Other Other_Functions_Provided_By_SlimR:
Celltype_annotation_Excel()
,
Celltype_annotation_PanglaoDB()
,
Celltype_annotation_Seurat()
## Not run:
Celltype_annotation_Cellmarker2(seurat_obj = sce,
gene_list = Markers_list_Cellmarker2,
species = "Human",
cluster_col = "seurat_clusters",
assay = "RNA",
save_path = file.path(tempdir(),"SlimR_Celltype_annotation_Cellmarker2")
colour_low = "white",
colour_high = "navy",
colour_low_mertic = "white",
colour_high_mertic = "navy",
)
## End(Not run)
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