R: Method Results

Results-methods {exomePeak2}

R Documentation

Method Results

Description

Method Results

Report the (Differential) Modification Peaks/Sites and their associated LFC Statistics

Usage

Results(
  sep,
  cut_off_pvalue = NULL,
  cut_off_padj = 0.05,
  cut_off_log2FC = 0,
  min_num_of_positive = 30,
  expected_direction = c("both", "hyper", "hypo"),
  inhibit_filter = FALSE,
  table_style = c("bed", "granges")
)

## S4 method for signature 'SummarizedExomePeak'
Results(
  sep,
  cut_off_pvalue = NULL,
  cut_off_padj = 0.1,
  cut_off_log2FC = 0,
  min_num_of_positive = 100,
  expected_direction = c("both", "hyper", "hypo"),
  inhibit_filter = FALSE,
  table_style = c("bed", "granges")
)

Arguments

`sep`	a `SummarizedExomePeak` object.
`cut_off_pvalue`	a `numeric` value for the p value cutoff in the exported result; Default `= NULL`.
`cut_off_padj`	a `numeric` value for the adjusted p value cutoff in the exported result; Default `= 0.05`.
`cut_off_log2FC`	a `numeric` value for the log2 fold change (LFC) cutoff of the exported result, only the sites with abs(LFC) larger than this value are kept; Default `= 0`.
`min_num_of_positive`	a `numeric` value for the minimum number of reported sites. If the number of remaining sites is less than this number after the filter, additional sites will be reported by the increasing order of the p value to meet this number.
`expected_direction`	a `character` for the expected direction of the differential modification, could be one in `c("hyper", "hypo", "both")`. `hyper` only report the peaks/sites with interactive LFC > 0. `hypo` only report the peaks/sites with interactive LFC < 0. `both` report the peaks/sites in both directions. This argument is useful when the treated group involves the perturbation of a known writer or eraser protein; Default "both".
`inhibit_filter`	a `logical` for whether to remove all the filters, this option is useful when quantification on single based site annotation; Default `= FALSE`.
`table_style`	a `character` for the style of the table being returned, could be one in `c("bed","granges")`. `bed` The genomic locations in the table are represented by BEDgraph style. `granges` The genomic locations in the table are represented by GRanges style.

Value

a data.frame containing the genomic locations of modification peaks/sites, gene ids, and their statistics.

Examples


### Load the example SummarizedExomPeak object
f1 = system.file("extdata", "sep_ex_mod.rds", package="exomePeak2")

sep <- readRDS(f1)

### Check the modification peaks/sites statistics.
head(Results(sep))

[Package exomePeak2 version 1.6.1 Index]