crossSpeciesCellTypeGOCorr {scGOclust} | R Documentation |
calculate cross-species correlation between cell types represented by scaled GO
Description
calculate cross-species correlation between cell types represented by scaled GO
Usage
crossSpeciesCellTypeGOCorr(
species_1,
species_2,
cell_type_go_sp1,
cell_type_go_sp2,
corr_method = "pearson"
)
Arguments
species_1 |
name of species one |
species_2 |
name of species two |
cell_type_go_sp1 |
cell type GO table of species one calculated via getCellTypeGO |
cell_type_go_sp2 |
cell type GO table of species two calculated via getCellTypeGO |
corr_method |
correlation method, choose among "pearson", "kendall", "spearman", default 'pearson' |
Value
correlation between cell types
Examples
library(scGOclust)
library(httr)
httr::set_config(httr::config(ssl_verifypeer = FALSE))
data(mmu_tbl)
data(mmu_subset)
data(dme_tbl)
data(dme_subset)
mmu_go_obj = makeGOSeurat(ensembl_to_GO = mmu_tbl,
seurat_obj = mmu_subset,
feature_type = "external_gene_name")
dme_go_obj = makeGOSeurat(ensembl_to_GO = dme_tbl,
seurat_obj = dme_subset,
feature_type = "external_gene_name")
mmu_cell_type_go = getCellTypeGO(go_seurat_obj = mmu_go_obj, cell_type_co = "cell_type_annotation")
dme_cell_type_go = getCellTypeGO(go_seurat_obj = dme_go_obj, cell_type_co = "annotation")
crossSpeciesCellTypeGOCorr(species_1 = 'mmusculus',
species_2 = 'dmelanogaster',
cell_type_go_sp1 = mmu_cell_type_go,
cell_type_go_sp2 = dme_cell_type_go)
[Package scGOclust version 0.2.1 Index]