MCbiclust
This is the development version of MCbiclust; for the stable release version, see MCbiclust.
Massive correlating biclusters for gene expression data and associated methods
Bioconductor version: Development (3.21)
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")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
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")| Introduction to MCbiclust | HTML | R Script |
| Reference Manual |
Details
| biocViews | Clustering, GeneExpression, ImmunoOncology, Microarray, RNASeq, Software, StatisticalMethod |
| Version | 1.31.0 |
| In Bioconductor since | BioC 3.5 (R-3.4) (7.5 years) |
| License | GPL-2 |
| Depends | R (>= 3.4) |
| Imports | BiocParallel, graphics, utils, stats, AnnotationDbi, GO.db, org.Hs.eg.db, GGally, ggplot2, scales, cluster, WGCNA |
| System Requirements | |
| URL |
See More
| Suggests | gplots, knitr, rmarkdown, BiocStyle, gProfileR, MASS, dplyr, pander, devtools, testthat, GSVA |
| Linking To | |
| Enhances | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Links To Me | |
| Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | MCbiclust_1.31.0.tar.gz |
| Windows Binary (x86_64) | |
| macOS Binary (x86_64) | |
| macOS Binary (arm64) | |
| Source Repository | git clone https://git.bioconductor.org/packages/MCbiclust |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/MCbiclust |
| Bioc Package Browser | https://code.bioconductor.org/browse/MCbiclust/ |
| Package Short Url | https://bioconductor.org/packages/MCbiclust/ |
| Package Downloads Report | Download Stats |