MCbiclust: Massive correlating biclusters for gene expression data and associated methods
Version 1.4.0

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 Microarray RNASeq Software StatisticalMethod
MaintainerRobert Bentham <[email protected]>
LicenseGPL-2
Version1.4.0
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
source("https://bioconductor.org/biocLite.R")
biocLite("MCbiclust")

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MCbiclust documentation built on May 2, 2018, 2:04 a.m.