ochiaiMat: Ochiai similarity Matrix for bicluster output

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

Description

Computes Ochiai similarity matrix for biclusters in two bicluster sets

Usage

ochiaiMat(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 Ochiai 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 Ochiai similarity score ja for two biclusters A and B is computed as

oc=\frac{|A\cap B|}{√{|A| |B|}}

Value

matrix of pairwise Ochiai indices

Author(s)

Tatsiana Khamiakova

See Also

similarity,jaccardMat, ochiaiMat, sensitivityMat, specificityMat,sorensenMat

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