PID-NCI human pathway repository, as a data frame with three columns
corresponding to : pathwayId , pathwayName, gene. This is an example of the
expected format for the input data to makeGPS.
Arguments
Details
This dataset is provided to illustrate how to create your own GPS
repositories.nciTable is a dataframe with threecolumns corresponding
to pathwayId, pathwayName and gene. Each row describes the association
between an individual gene and a PID-NCI pathway. As you see in the
examples, section, one can convert this dataframe to a GPS
repository using makeGPS, and save the results for future reuse.
Using the thus created GPS repository one can preform Signature
Overrepresentation Analysis on lists of genes of interest.
# NOT RUN {data(nciTable)
nciH<-makeGPS(pathwayTable=load_data('nciTable'))
data(idmap)
ils<-grep("^IL",idmap[,"Symbol"],value=TRUE)
ilnci<-sigora(queryList=ils,GPSrepo=nciH,level=3)
# }