library(cbioportalR)
library(dplyr)
# Public
cbioportalR::set_cbioportal_db("public")
all_public_panels <- available_gene_panels()
gene_panels <- cbioportalR::get_gene_panel(all_public_panels$genePanelId)
gene_panels <- gene_panels %>%
transmute(gene_panel = .data$genePanelId,
entrez_id = .data$entrezGeneId,
hugo_symbol = .data$hugoGeneSymbol)
gene_panels <- gene_panels %>%
group_by(.data$gene_panel) %>%
summarise(genes_in_panel = list(.data$hugo_symbol),
entrez_ids_in_panel = list(.data$entrez_id))
# MSK Additional ------------------------------------------------------------
# cbioportalR::set_cbioportal_db("msk")
#
# all_msk_panels <- available_gene_panels()
# additional_msk_panels <- setdiff(all_msk_panels$genePanelId, gene_panels$gene_panel)
#
# add_msk_panels <- cbioportalR::get_gene_panel(additional_msk_panels)
#
# add_msk_panels <- add_msk_panels %>%
# transmute(gene_panel = .data$genePanelId,
# entrez_id = .data$entrezGeneId,
# hugo_symbol = .data$hugoGeneSymbol)
#
#
#
# add_msk_panels <- add_msk_panels %>%
# group_by(.data$gene_panel) %>%
# summarise(genes_in_panel = list(.data$hugo_symbol),
# entrez_ids_in_panel = list(.data$entrez_id))
#
#
# gene_panels <- bind_rows(gene_panels, add_msk_panels)
# GENIE Additional ------------------------------------------------------------
cbioportalR::set_cbioportal_db("https://genie-private.cbioportal.org/api")
all_genie_panels <- available_gene_panels()
additional_genie_panels <- setdiff(all_genie_panels$genePanelId, gene_panels$gene_panel)
add_genie_panels <- cbioportalR::get_gene_panel(additional_genie_panels)
# get table of gene aliases (internal data)
alias_table <- gnomeR::impact_alias_table %>%
dplyr::select("hugo_symbol", "alias")
# recode aliases
add_genie_panels$hugoGeneSymbol <- purrr::map_chr(add_genie_panels$hugoGeneSymbol,
~resolve_alias(gene_to_check = .x,
alias_table = alias_table))
add_genie_panels <- add_genie_panels %>%
transmute(gene_panel = .data$genePanelId,
entrez_id = .data$entrezGeneId,
hugo_symbol = .data$hugoGeneSymbol)
add_genie_panels <- add_genie_panels %>%
group_by(.data$gene_panel) %>%
summarise(genes_in_panel = list(.data$hugo_symbol),
entrez_ids_in_panel = list(.data$entrez_id))
gene_panels <- bind_rows(gene_panels, add_genie_panels)
usethis::use_data(gene_panels, overwrite = TRUE)
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