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MCbiclust
This is the released version of MCbiclust; for the devel version, see MCbiclust.
Massive correlating biclusters for gene expression data and associated methods
Bioconductor version: Release (3.22)
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.
Author: Robert Bentham
Maintainer: Robert Bentham <robert.bentham.11 at ucl.ac.uk>
citation("MCbiclust")):
Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("MCbiclust")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("MCbiclust")
Details
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Package Archives
Follow Installation instructions to use this package in your R session.