sensitivityMat: Sensitivity Matrix for bicluster output

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

Description

Computes sensitivity matrix for biclusters in two bicluster sets

Usage

sensitivityMat(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 sensitivity 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. Sensitivity inclusion score sen of biclusters A and B is computed as

sen=\frac{|A\cap B|}{|A|}

Value

matrix of pairwise sensitivities

Author(s)

Tatsiana Khamiakova

See Also

similarity,jaccardMat, ochiaiMat, kulczynskiMat, specificityMat,sorensenMat

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