computes jaccard similarity matrix for biclusters in two bicluster sets
jaccardMat(x, y, type=c("rows", "cols", "both"))BiclustSet object containing row and column indicators of bicluster membership, number of biclusters
BiclustSet object containing row and column indicators of bicluster membership, number of biclusters
whether to compute Jaccard index in two dimensions, row dimension or column dimension
matrix of pairwise Jaccard indices
This function operates on BiclustSet objects and computes pairwise similarity based on the common elements between biclusters. The Jaccard similarity score \(ja\) for two biclusters A and B is computed as $$ja=\frac{|A\cap B|}{|A\cup B|}$$
similarity,kulczynskiMat, ochiaiMat, sensitivityMat,
specificityMat,sorensenMat