get_distinct_mir_df: Identify top miRNA names distinct for one topic compared to...
In JulFriedrich/miRetrieve: miRNA Text Mining in Abstracts

Description Usage Arguments Details Value See Also

Identify top miRNA names distinct for one topic compared to another topic in a data frame.

get_distinct_mir_df(
  df,
  distinct,
  top = 5,
  topic = NULL,
  col.topic = Topic,
  col.mir = miRNA,
  col.pmid = PMID
)

`df`	Data frame containing at least two topics and miRNA names.
`distinct`	String. Name of topic top distinct miRNAs shall be identified for. `distinct` must be contained in the topic names provided in `topic`.
`top`	Integer. Number of top miRNA names to extract for both topics.
`topic`	String. Vector of strings containing topic names to compare miRNA names for. If `topic = NULL`, `topic` defaults to all topic names contained in `col.topic` in `df`. `topic` must only contain two topic names.
`col.topic`	Symbol. Column containing topic names.
`col.mir`	Symbol. Column containing miRNA names.
`col.pmid`	Symbol. Column containing PubMed-IDs.

Get top distinct miRNA names of one topic compared to another topic in a data frame. get_distinct_mir_df() compares the top miRNA names of two topics and returns the miRNA names that are exclusive for distinct.

Character vector containing miRNA names distinct for distinct compared to the second topic provided in topic.

Other get functions: get_distinct_mir_vec(), get_mir(), get_pmid(), get_shared_mir_df(), get_shared_mir_vec(), get_snp()