#' Examine Ontology
#'
#' Check list of Ontology to find genes relevant assessed by cancer biology.
#' @param
#' hallmark_list: list of hallmarks from ontology database \cr
#' predictor: feature list \cr
#' coeff : TRUE return hazard coefficient
#'
#' @return predicted linear predictor for each individual in the test set
#' @export
#' @importFrom magrittr %>%
#' @importFrom rlang !!
ontology_search <- function(ont, gene_list, coeff = FALSE, coef = median_coeff, name = "hazard ratio"){
ont <- tolower(ont)
ont <- qusage::read.gmt( paste0("docs/Gene sets/", ont, ".all.v6.1.entrez.gmt"))
coef <- dplyr::enquo(coef)
p <- gene_list$Entrez_Gene_Id
hall <- lapply(ont, function(x){
sapply(p, function(p)
ifelse(p %in% x, p, NA)
)
}
)
hall <- lapply(hall, function(x) x[!is.na(x)])
hall <- hall[sapply(hall, length)>0]
if(coeff){
hall <- lapply(hall, function(h){
sapply(h, function(i){
predictor %>% filter(!!Predictor == i) %>% dplyr::select(!!coef)
})
})
hall <- lapply(hall, function(h){
data.frame( features = gsub("\\..*","",names(h) ),
coef = unlist(h), row.names = NULL)
})
}else{
hall <- lapply(hall, function(h) unname(h))
}
return(hall)
}
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