MCbiclust
Massive correlating biclusters for gene expression data and associated methods
Bioconductor version: 3.24 · Package version: 1.37.0
Other Bioconductor versions
devel is the development version; release is the current stable one.
3.24 (devel), 3.23 (release)
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.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("MCbiclust")Details
| Maintainer | Robert Bentham <robert.bentham.11@ucl.ac.uk> |
| Author | Robert Bentham |
| License | GPL-2 |
| Source branch | devel |
| Build report | Bioconductor build system, r-universe |
| biocViews | Clustering, GeneExpression, ImmunoOncology, Microarray, RNASeq, Software, StatisticalMethod |
| Package Short Url | https://bioconductor.org/packages/MCbiclust/ |
Citation
From within R, enter citation("MCbiclust"):
Robert Bentham. MCbiclust: Massive correlating biclusters for gene expression data and associated methods. doi:10.18129/B9.bioc.MCbiclust, R package version 1.37.0, https://bioconductor.org/packages/MCbiclust.
Generated from the package metadata; it may differ from the package's own citation.
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | MCbiclust_1.37.0.tar.gz |
| Windows binary (x86_64) | MCbiclust_1.37.0.zip |
| macOS binary (arm64) | MCbiclust_1.37.0.tgz |
| macOS binary (x86_64) | MCbiclust_1.37.0.tgz |