kulczynskiMat: Kulczynski similarity Matrix for bicluster output

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

Description

computes Kulczynski similarity matrix for biclusters in two bicluster sets

Usage

kulczynskiMat(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 Kulczynski 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. Kulczynski similarity score ku for two biclusters A and B is computed as

ku = 2|A\cap B|≤ft(\frac{1}{|A|} + \frac{1}{|B|}\right)

Value

matrix of pairwise Kulczynski indices

Author(s)

Tatsiana Khamiakova

See Also

similarity,jaccardMat, ochiaiMat, sensitivityMat, specificityMat,sorensenMat

superbiclust documentation built on May 28, 2021, 9:06 a.m.