jaccardMat: Jaccard similarity Matrix for bicluster output

In superbiclust: Generating Robust Biclusters from a Bicluster Set (Ensemble Biclustering)

Description

computes jaccard similarity matrix for biclusters in two bicluster sets

Usage

jaccardMat(x, y, type=c("rows", "cols", "both"))

Arguments

x	BiclustSet object containing row and column indicators of bicluster membership, number of biclusters
y	BiclustSet object containing row and column indicators of bicluster membership, number of biclusters
type	whether to compute Jaccard index in two dimensions, row dimension or column dimension

Details

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|}

Value

matrix of pairwise Jaccard indices

Author(s)

Tatsiana Khamiakova

See Also

similarity,kulczynskiMat, ochiaiMat, sensitivityMat, specificityMat,sorensenMat

superbiclust documentation built on May 2, 2019, 6:53 p.m.