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#'Gene Citation Index
#'
#'@description Contains the mean citation index of 66 genes obtained by
#' assessing PubMed abstracts and annotations using two key words i) Gene name
#' + b cell differentiation and ii) Gene name + plasma cell differentiation.
#'@name gene_citation
#'@docType data
#'@usage data("gene_citation")
#'@format A data frame with 66 rows and 2 columns. \describe{
#' \item{\code{gene}}{gene names} \item{\code{citation_index}}{mean citation index} }
#'
#' @examples
#' data(gene_citation)
#'
#'# Some key genes of interest to be highlighted
#'key.gns <- c("MYC", "PRDM1", "CD69", "IRF4", "CASP3", "BCL2L1", "MYB", "BACH2", "BIM1", "PTEN",
#' "KRAS", "FOXP1", "IGF1R", "KLF4", "CDK6", "CCND2", "IGF1", "TNFAIP3", "SMAD3", "SMAD7",
#' "BMPR2", "RB1", "IGF2R", "ARNT")
#'# Density distribution
#'ggdensity(gene_citation, x = "citation_index", y = "..count..",
#' xlab = "Number of citation",
#' ylab = "Number of genes",
#' fill = "lightgray", color = "black",
#' label = "gene", label.select = key.gns, repel = TRUE,
#' font.label = list(color= "citation_index"),
#' xticks.by = 20, # Break x ticks by 20
#' gradient.cols = c("blue", "red"),
#' legend = "bottom",
#' legend.title = "" # Hide legend title
#' )
#'
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