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# load mouse DB
msdb <- msigdbr(species = "Mus musculus") # 2023.1.1
# find all GOBP_FEMALE_SEX_DIFFERENTIATION genes and group into set
results <- msdb %>%
filter(grepl(tolower('GOBP_FEMALE_SEX_DIFFERENTIATION'), tolower(gs_name))) %>%
group_by(gs_name, gs_description) %>%
summarise(
genes = list(ensembl_gene),
.groups = 'drop'
)
print(results)
# A tibble: 1 × 3
gs_name gs_description genes
<chr> <chr> <list>
1 GOBP_FEMALE_SEX_DIFFERENTIATION The establishment of the sex of a female organism by physical differentiation. [GOC:bf] <chr [122]>
returns lots of human sets. There is only one WP_LUNG_FIBROSIS might be mouse one, but it is likely the human because it has 63 genes, and mouse one should be 60.
It seems that either older MSigDB had no mouse sets (idk) or they are not loaded correctly.
The text was updated successfully, but these errors were encountered:
Find GOBP_FEMALE_SEX_DIFFERENTIATION set:
There are 122 genes in a set which looks like a human set https://www.gsea-msigdb.org/gsea/msigdb/human/geneset/GOBP_FEMALE_SEX_DIFFERENTIATION.html
since mouse one contains 156 genes https://www.gsea-msigdb.org/gsea/msigdb/mouse/geneset/GOBP_FEMALE_SEX_DIFFERENTIATION.html
I tried few other sets with the same results.
Find all fibrosis related sets:
returns lots of human sets. There is only one WP_LUNG_FIBROSIS might be mouse one, but it is likely the human because it has 63 genes, and mouse one should be 60.
It seems that either older MSigDB had no mouse sets (idk) or they are not loaded correctly.
The text was updated successfully, but these errors were encountered: