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runCompareComplex <- function(BGMat1, BGMat2, index="Jaccard", byWhich="ROW"){
BGMat1 <- as.matrix(BGMat1)
BGMat2 <- as.matrix(BGMat2)
##This function prepares two matrix representation of bipartite
##graphs for comparison. We need the rows of TSNMat and erComplex
##to be identical if reasonable comparisons can be made. To that
##end, both TSNMat and erComplex are extended so that all proteins
##are listed and in the same order.
rNamesBGMat1 = rownames(BGMat1)
rNamesBGMat2 = rownames(BGMat2)
##grabbing names of proteins in one matrix and not the other...
onlyInBGMat1 = setdiff(rNamesBGMat1, rNamesBGMat2)
onlyInBGMat2 = setdiff(rNamesBGMat2, rNamesBGMat1)
##creating zero matrices indexed by the two sets above....
apendBGMat1 = matrix(0, nrow = length(onlyInBGMat2), ncol = ncol(BGMat1))
dimnames(apendBGMat1) = list(onlyInBGMat2, colnames(BGMat1))
apendBGMat2 = matrix(0, nrow = length(onlyInBGMat1), ncol = ncol(BGMat2))
dimnames(apendBGMat2) = list(onlyInBGMat1, colnames(BGMat2))
##binding the matrices created above to TSNMat and erComplex...
BGMat1 = rbind(BGMat1, apendBGMat1)
BGMat2 = rbind(BGMat2, apendBGMat2)
##aggregate set of preteins listed in some order
unionNames = union(rNamesBGMat1, rNamesBGMat2)
##makes sure ordering in TSN and erComplex are identical...
BGMat1 = BGMat1[unionNames,]
BGMat2 = BGMat2[unionNames,]
##calls compareComplex and gets the necessary statistics
compArray = compareComplex(BGMat1, BGMat2)
simInd = NULL
if (index == "Jaccard"){
simInd = JaccardCoef(compArray)
}
#maxInterS = maximizeSimilarity(simInd, byWhich)
#align = runAlignment(BGMat1, BGMat2, simInd)
#rowToDel = which(apply(align, 1, function(x) all(is.na(x))))
#align = align[-rowToDel,]
subC <- findSubComp(BGMat1, BGMat2, compArray$intersect, simInd)
comparisonList = list()
comparisonList$JC = simInd
#comparisonList$maxIntersect = maxInterS
comparisonList$equal = subC$equal
comparisonList$toBeRm = subC$toBeRm
comparisonList$subcomplex = subC$subcomplex
comparisonList$toBeRmSubC = subC$toBeRmSubC
comparisonList
}
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