EventPointer_Bootstraps {EventPointer} | R Documentation

## EventPointer_Bootstraps

### Description

Statistical analysis of alternative splicing events with bootstrap technique.

### Usage

    EventPointer_Bootstraps(
      PSI,
      Design,
      Contrast,
      cores = 1,
      ram = 0.1,
      nBootstraps = 10000,
      UsePseudoAligBootstrap = TRUE,
      Threshold = 0
    )

### Arguments

`PSI` | Array or matrix that contains the values of PSI calculated in the function GetPSIFromTranRef. If bootstrap option was selected in GetPSIFromTranRef, input must be an array. If not, input must be a matrix
`Design` | Design matrix
`Contrast` | Contrast matrix
`cores` | The number of cores desired to use.
`ram` | How many ram memory is used,in Gb.
`nBootstraps` | How many layers, Bootstraps or samplings are going to be used. Caution, high numbers increase computational time.
`UsePseudoAligBootstrap` | TRUE (default) if bootstrap data from pseudoaligment want to be used or FALSe if not.
`Threshold` | it assigns a threshold to compute the pvalues. default = 0.

### Value

A list containing the summary of the Bootstrap analysis: DeltaPSI, Pvalues, FDR. This info can be obtained in a simple table with the function ResulTable.

### Examples

           data(PSIss)
           PSI <- PSIss$PSI

           Dmatrix <- cbind(1,rep(c(0,1),each=2))
           Cmatrix <- matrix(c(0,1),nrow=2)

           Fit <- EventPointer_Bootstraps(PSI = PSI,
                                          Design = Dmatrix,
                                          Contrast = Cmatrix,
                                          cores = 1,
                                          ram = 1,
                                          nBootstraps = 10,
                                          UsePseudoAligBootstrap = TRUE)

[Package EventPointer version 3.2.0 Index]