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#' @export
# function for retrieving Gene.id
getGeneIds = function(im, genes, organism){
# Define new query to look for Gene.id
queryGeneId = newQuery()
# set columns
queryGeneId[["select"]] = c(
"Gene.primaryIdentifier",
"Gene.secondaryIdentifier",
"Gene.symbol",
"Gene.id"
)
# set sort order
queryGeneId[["orderBy"]] = list(c(Gene.secondaryIdentifier = "ASC"))
# set organism constraint
organismConstraint = list(
path = "Gene.organism.name",
op = "=",
value = organism,
code = "B"
)
# save genes with unique results
unique_results = list(NULL)
ind.unique = c()
# save genes with multiple results
multiple_results = list(NULL)
ind.multiple = c()
# save index of genes with no Gene.id result
ind.no_results = c()
# iterate through the input genes
for(j in seq(length(genes))){
# set Gene constraint
geneConstraint = list(
path = "Gene",
op = "LOOKUP",
value = genes[j],
code = "A"
)
# assign constraints
queryGeneId[["where"]] = list(geneConstraint, organismConstraint)
# run query
res = runQuery(im, queryGeneId)
# if res is NULL or Gene.id is missing
if(is.null(res)){
ind.no_results = c(ind.no_results, j)
} else if(nrow(res) > 1) { # save in multiple results
multiple_results[[j]] = res
ind.multiple = c(ind.multiple, j)
} else if(nrow(res) == 1){ # save in unique results
g = res$Gene.id
if(g == ""){
ind.no_results = c(ind.no_results, j)
} else {
unique_results[[j]] = res
ind.unique = c(ind.unique, j)
}
}
}
# create data.frame of unique results
res2 = do.call(rbind,unique_results[ind.unique])
# create string for doEnrichment() function with Gene.id column
doEnrichment.string = paste(res2$Gene.id, collapse = ",")
# return all results
results = list(
unique.results = res2,
doEnrichment.string = doEnrichment.string,
multiple.results = do.call(rbind, multiple_results[ind.multiple]),
genes.with.no.results = genes[ind.no_results]
)
print(paste0(as.character(length(ind.multiple)),
" genes have returned multiple results."))
print(paste0(as.character(length(ind.no_results)),
" genes have returned no results."))
return(results)
}
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