SummarizeSingleRegion: Summarizes RNA editing levels from multiple sites in a single...
In rnaEditr: Statistical analysis of RNA editing sites and hyper-editing regions

Description Usage Arguments Value Examples

Summarizes RNA editing levels from multiple sites in an input region.

SummarizeSingleRegion(
  region_df,
  rnaEditMatrix,
  selectMethod = MedianSites,
  ...
)

`region_df`	A data frame with the input genomic region. Please make sure columns `seqnames`, `start`, and `end` are included in the data frame.
`rnaEditMatrix`	A matrix (or data frame) of RNA editing level values for individual sites, with row names as site IDs in the form of "chrAA:XXXXXXXX", and column names as sample IDs. Please make sure to follow the format of example dataset (`data(rnaedit_df)`).
`selectMethod`	Method for summarizing regions. Available options are `"MaxSites", "MeanSites", "MedianSites", "PC1Sites"`. Please see `RegionSummaryMethod` for more details.
`...`	Dots for additional internal arguments (currently unused).

A named numeric vector of summarized RNA editing levels with sample IDs as column names.

  data(rnaedit_df)
  
  exm_region <- data.frame(
    seqnames = "chr1",
    start =  28691093,
    end = 28826881, 
    stringsAsFactors = FALSE
  )
   
  SummarizeSingleRegion(
    region_df = exm_region,
    rnaEditMatrix = rnaedit_df
  )[1:3]