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findJointP <- function(data){
## Find proteins that commonly occur in all experiments. They resulting
## intersect is stored in the variable jointP. It will be used for
## cross-experiment normalization.
message("Detecting intersect between treatment groups (jointP).")
grNames <- names(data)
## Collect protein IDs detected in each treatment group:
idList <- sapply(grNames, function(n){featureNames(data[[n]])}, simplify=FALSE)
## Determine proteins occurring in each table:
jointP <- idList[[1]]
for (n in grNames){
jointP <- intersect(jointP, idList[[n]])
}
message("-> JointP contains ", length(jointP), " proteins.\n")
return(jointP)
}
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