chooseFp: Select top features that differentiates the samples in the...

In biclustRank: Ranking of biclusters using another data source

Description

Select top features that differentiates the samples in the bicluster from the other samples.

Usage

choosefp(bicRes, binMat, bcNum, N = 20,fdr=0) 

Arguments

bicRes	An object containing the list of biclusters returned by extractBicList.
binMat	Binary matrix of chemical structures that is used to rank the biclusters.
bcNum	The bicluster number of interest. Select only 1 bicluster.
N	The number of top features to be identified.
fdr	False discovery rate used to identify significant features from the univariate fisher's exact test If this is given, N is ignored. The default is 0, making use of N.

Value

Gives a subset of the row names of mat.

biclustRank documentation built on May 2, 2019, 4:54 p.m.