sorensenMat: Sorensen similarity Matrix for bicluster output

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

Description

Computes Sorensen similarity matrix for biclusters in two bicluster sets

Usage

sorensenMat(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 Sorensen 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. Sorensen similarity score so for two biclusters A and B is computed as

so = \frac{2|A\cap B|}{|A| + |B|}

Value

matrix of pairwise Sorensen indices

Author(s)

Tatsiana Khamiakova

See Also

similarity,jaccardMat, ochiaiMat, sensitivityMat, specificityMat,kulczynskiMat

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