MCbiclust: Massive correlating biclusters for gene expression data and associated methods

Custom made algorithm and associated methods for finding, visualising and analysing biclusters in large gene expression data sets. Algorithm is based on with a supplied gene set of size n, finding the maximum strength correlation matrix containing m samples from the data set.

Package details

AuthorRobert Bentham
Bioconductor views Clustering GeneExpression ImmunoOncology Microarray RNASeq Software StatisticalMethod
MaintainerRobert Bentham <>
Package repositoryView on Bioconductor
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MCbiclust documentation built on April 29, 2020, 5:31 a.m.