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]