MCbiclust
Massive correlating biclusters for gene expression data and associated methods
Bioconductor version: 3.23 · Package version: 1.36.0
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.
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 |
| Downloads rank | 601 |
| Source branch | RELEASE_3_23 |
| biocViews | Clustering, GeneExpression, ImmunoOncology, Microarray, RNASeq, Software, StatisticalMethod |
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | MCbiclust_1.36.0.tar.gz |
| Windows binary (x86_64) | MCbiclust_1.36.0.zip |
| macOS binary (arm64) | MCbiclust_1.36.0.tgz |
| macOS binary (x86_64) | MCbiclust_1.36.0.tgz |