compare_mir_count_unique: Compare top count of unique miRNA names per topic
In JulFriedrich/miRetrieve: miRNA Text Mining in Abstracts

Description Usage Arguments Details Value See Also

Compare top count of unique miRNA names per topic

compare_mir_count_unique(
  df,
  top = 5,
  topic = NULL,
  normalize = TRUE,
  colour = "steelblue3",
  col.topic = Topic,
  col.mir = miRNA,
  col.pmid = PMID,
  title = NULL
)

`df`	Data frame containing miRNA names, topics, and PubMed-IDs.
`top`	Integer. Specifies number of top unique miRNAs to plot.
`topic`	Character vector. Optional. Vector specifying which topics to compare. If `topic = NULL`, all topics in `df` are used.
`normalize`	Boolean. If `normalize = TRUE`, proportion of abstracts mentioning a miRNA name compared to all abstracts of a topic are used. If `normalize = FALSE`, the absolute number of abstracts mentioning a miRNA name is used.
`colour`	String. Colour of bar plot.
`col.topic`	Symbol. Column containing topics.
`col.mir`	Symbol. Column containing miRNA names.
`col.pmid`	Symbol. Column containing PubMed-IDs.
`title`	String. Plot title.

Compare top count of unique miRNA names per topic by plotting the the miRNA count of unique miRNAs per topic. Per topic, the unique miRNAs are identified and their count is plotted. The miRNA count can either be normalized, thus taking the proportion of abstracts mentioning a miRNA name compared to all abstracts in a topic, or not normalized, thus taking the absolute number of abstracts mentioning a miRNA in a topic.

Bar plot comparing frequency of unique miRNA count per topic.

compare_mir_count(), compare_mir_count_log2()

Other compare functions: compare_mir_count_log2(), compare_mir_count(), compare_mir_terms_log2(), compare_mir_terms_scatter(), compare_mir_terms_unique(), compare_mir_terms()