get_literature_score: get_literature_score
In PubScore: Automatic calculation of literature relevance of genes

Description Usage Arguments Value Examples

Calculates the importance score for a given gene. The importance score is the total counts of articles in the pubmed database that are a result for that gene AND each term of a list

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get_literature_score(genes, terms_of_interest, gene2pubmed = FALSE,
  return_all = FALSE, wait_time = 0, show_progress = TRUE,
  verbose = FALSE)

`genes`	A vector with multiple genes.
`terms_of_interest`	A list of terms of interest related to the topic you want to find the relevance for
`gene2pubmed`	logical defining if gene2pubmed db is going to be used. If used, the vector of genes has to be of HUMAN genes in the hgcn_symbol format.
`return_all`	Only to be used with gene2pubmed! logical defining if the all_counts table is going to be returned here. Usually it is generated by the test_score function.
`wait_time`	How long should be the interval between two requests to the ENTREZ database when it fails. Defaults to 0. In seconds.
`show_progress`	If TRUE, a progress bar is displayed. Defaults to TRUE.
`verbose`	If TRUE, will display the index of the search occuring. Defaults to FALSE.

A dataframe with the literature scores.

genes <- c('CD8A', 'CD4')
terms_of_interest <-
  c(
    "CD4 T cell",
    "CD14+ Monocyte",
    "B cell",
    "CD8 T cell",
    "FCGR3A+ Monocyte",
    "NK cell",
    "Dendritic cell",
    "Megakaryocyte",
    'immunity'
  )
get_literature_score(genes, terms_of_interest)