probesetPermutations {TIN} | R Documentation

## Permutations of the samples at each probeset

### Description

The function takes in the data.frame from 'firmaAnalysis' (containing log2 FIRMA scores for all probe sets/exons (rows) in all samples (columns)), along with the list 'percentiles' from 'aberrantExonUsage' (containing the lower and upper percentile values of FIRMA scores used as thresholds for denoting aberrant exon usage), and makes permutations of the FIRMA scores for each probe set/exon across all samples. Based on the permutation, random relative amounts of aberrant exon skipping and inclusion per sample is calculated and returned.

### Usage

        probesetPermutations(fs, percentiles)

### Arguments

`fs` | FIRMA scores for each probe set/sample combination (the data.frame returned from the function 'firmaAnalysis').
`percentiles` | List containing two FIRMA score percentile values, i.e., the lower and upper percentiles used as thresholds for denoting aberrant exon usage (the list object 'percentiles' returned from the function 'aberrantExonUsage').

### Value

A list with two vectors, with number of exon skipping and inclusion events, respectively, for each sample after permutations of the expression levels at each probeset.

### Examples

    # Set up data set with FIRMA scores and calculate relative aberrant
    # exon usage for each sample
        fs <- firmaAnalysis(useToyData=TRUE)
        tra <- aberrantExonUsage(1.0, fs)
    # Make permutations of the expression data at each probeset
        perms <- probesetPermutations(fs, quantiles)

[Package TIN version 1.16.0 Index]