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training_hallmarks() retrieves the 'Hallmarks of Cancer' geen sets from MSigDB.

Usage

training_hallmarks()

Value

training_hallmarks() creates a tibble with columns 'gene' (Ensembl identifiers), 'set', and 'description' (a link to a description of the set on the MSigDB web site).

Details

As is often the case, the Hallmarks of Cancer gene sets use gene identifiers from the NCBI ('Entrez' gene identifiers), but our data uses gene identifiers from Ensembl; this function accomplishes the tedious task of translating between gene sets using the Bioconductor 'org.Hs.eg.db' data resource and annotation functions in the AnnotationDbi pacakge. The mapping between identifiers is not 1:1, so the number of genes in each Hallmark set differs between Ensembl and Entrez identifiers.

Examples

training_hallmarks()
#> visit 'https://www.gsea-msigdb.org/gsea/msigdb/human/collections.jsp'
#>     to register for use of the MSigDb 'hallmarks' dataset.
#> 'select()' returned 1:many mapping between keys and columns
#> # A tibble: 8,220 × 3
#>    gene            set                                      description         
#>    <chr>           <chr>                                    <chr>               
#>  1 ENSG00000000938 HALLMARK_ALLOGRAFT_REJECTION             http://www.gsea-msi…
#>  2 ENSG00000000971 HALLMARK_INTERFERON_GAMMA_RESPONSE       http://www.gsea-msi…
#>  3 ENSG00000000971 HALLMARK_COMPLEMENT                      http://www.gsea-msi…
#>  4 ENSG00000000971 HALLMARK_COAGULATION                     http://www.gsea-msi…
#>  5 ENSG00000000971 HALLMARK_KRAS_SIGNALING_UP               http://www.gsea-msi…
#>  6 ENSG00000001084 HALLMARK_MTORC1_SIGNALING                http://www.gsea-msi…
#>  7 ENSG00000001084 HALLMARK_XENOBIOTIC_METABOLISM           http://www.gsea-msi…
#>  8 ENSG00000001084 HALLMARK_GLYCOLYSIS                      http://www.gsea-msi…
#>  9 ENSG00000001084 HALLMARK_REACTIVE_OXYGEN_SPECIES_PATHWAY http://www.gsea-msi…
#> 10 ENSG00000001084 HALLMARK_HEME_METABOLISM                 http://www.gsea-msi…
#> # … with 8,210 more rows