applyStickyError {simulatorAPMS}R Documentation

Function that takes sticky proteins and calculates FP's

Description

The applyStickyError function simulates FP outputs for those proteins are known to attract many prey during the experiment. The parameters for the function implicitly define which protein, P, is sticky, since the notNoundProt is the set of proteins in the TSN which all do not interact with P. The rateStky is the rate at which the stickiness causes P to accumulate FP's. The return value are those proteins which will become the stickiness FP set for protein P in the simulated error model.

Usage

applyStickyError(notFoundProt, rateSticky)

Arguments

notFoundProt A vector consisting of all the proteins that do not interact with protein P in the TSN
rateSticky The rate at which the sticky protein attracts other proteins ands records FP outputs in the experiment.

Details

This is essentially a function for recording more FP interactions among baits and non-prey. The function takes in a bait that is known to have some high level of finding prey as a result of the experimentation.

In essence, the bait attracts and binds to other proteins with which it would normally not interact.

Value

The return value, ProtInErr, is a vector consisting of a subset of proteins from the set notFoundProt. This subset will be

Author(s)

Tony Chiang

See Also

applyFPErrors, applyDeformationError

Examples


library(simulatorAPMS)
data(TSNMatrix)
exampleNotFoundPrey <- rownames(TSNMatrix)[1:50]
applyStickyError(exampleNotFoundPrey, 0.9)


[Package simulatorAPMS version 1.2.1 Index]