gene_citation: Gene Citation Index

In kassambara/ggpubr: 'ggplot2' Based Publication Ready Plots

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.

Usage

data("gene_citation")

Format

A data frame with 66 rows and 2 columns.

gene

gene names

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
  )

kassambara/ggpubr documentation built on Feb. 15, 2023, 4:09 a.m.