extract_snp: Extract SNPs from abstracts in data frame
In JulFriedrich/miRetrieve: miRNA Text Mining in Abstracts

Description Usage Arguments Details Value See Also

Extract SNPs from abstracts in a data frame.

extract_snp(
  df,
  pattern = snp_pattern,
  col.abstract = Abstract,
  indicate = FALSE,
  discard = FALSE
)

`df`	Data frame containing abstracts.
`pattern`	String. Regex pattern to identify SNPs.
`col.abstract`	Symbol. Column containing abstracts.
`indicate`	Boolean. If `indicate = TRUE`, add another column called "SNP_present", verbally indicating if a SNP is present in an abstract.
`discard`	Boolean. If `discard = TRUE`, only abstracts containing a SNP are kept.

Extract SNPs from abstracts in a data frame. SNPs are added to the data frame in a separate column. Furthermore, an optional column can indicate if SNPs are generally present in an abstract.

Data frame. If discard = FALSE, return the data frame with an additional column for SNPs. If discard = TRUE, return only abstracts containing SNPs.

count_snp(), get_snp(), subset_snp()

Other extract functions: extract_mir_df(), extract_mir_string()

JulFriedrich/miRetrieve documentation built on Sept. 20, 2021, 11:37 p.m.