idProteinErrorType {ppiStats} | R Documentation

## A function to identify those proteins affected by either stochastic or systematic errors

### Description

This function takes in either a bait to prey Graph (matrix) and, based on a binomial error model, partitions proteins identified as either affected by systematic or stochastic error.

### Usage

    idSystematic(bpMat, viable, bpGraph = FALSE, pThresh = 0.01, pLevels = 1e-4, prob=0.5)
    idStochastic(bpMat, bpGraph = FALSE, pThresh = 0.01, pLevels = 1e-4, prob=0.5)

### Arguments

`bpMat` | Either a bait to prey directed graphNEL or its corresponding adjacency matrix.
`viable` | This is a character vector of viable proteins. It is only used in the idSystematic function.
`bpGraph` | A logical. If TRUE, than bpMat is passed in by the user as a graphNEL.
`pThresh` | The p-value threshold for which to partition stochastic or systematic errors
`pLevels` | A numeric vector. It gives the levels to calculate the countours of the function in p in the (n-in, n-out)-plane
`prob` | A numeric. The bias of the coin in the call to pbinom.

### Value

A character vector of proteins either affected by systematic or stochastic errors.

### Author(s)

T Chiang

### References

~put references to the literature/web site here ~

### Examples

    library(ppiData)
    idSystematic(Ito2001BPGraph, viableBaits[[1]], bpGraph=TRUE)

[Package ppiStats version 1.2.0 Index]