getNetConsensus: compile net score across a set of predictor results
In BaderLab/netDx: Network-based patient classifier

Description Usage Arguments Details Value Examples

compile net score across a set of predictor results

1	getNetConsensus(scorelist)

scorelist

(list) key is dataset name, value is a data.frame containing PATHWAY_NAME and SCORE. This is the output of compileFeatureScores()

used to compare how individual nets score for different predictor configurations

(data.frame) Rownames are union of all nets in the input list. Columns show net scores for each key of the input list. Where a net is not found in a given list, it is assigned the value of NA

pathways <- paste("PATHWAY_",1:100,sep="")
highrisk <- list()
for (k in 1:10) { 
	highrisk[[k]] <- data.frame(PATHWAY_NAME=pathways, 
	SCORE=runif(length(pathways),min=0,max=10),
			stringsAsFactors=FALSE);
}
names(highrisk) <- sprintf("Split%i",1:length(highrisk))
x <- getNetConsensus(highrisk)