applyStickyError {simulatorAPMS} | R Documentation |
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.
applyStickyError(notFoundProt, rateSticky)
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. |
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.
The return value, ProtInErr, is a vector consisting of a subset of proteins from the set notFoundProt. This subset will be
Tony Chiang
applyFPErrors
, applyDeformationError
library(simulatorAPMS) data(TSNMatrix) exampleNotFoundPrey <- rownames(TSNMatrix)[1:50] applyStickyError(exampleNotFoundPrey, 0.9)