MCbiclust
This is thereleased version of MCbiclust; for the devel version, seeMCbiclust.
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 appropriateBioconductor 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 | 1.34.0 |
| In Bioconductor since | BioC 3.5 (R-3.4) (8.5 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 | |
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| Build Report | Build Report |
Package Archives
FollowInstallation instructions to use this package in your R session.
| Source Package | MCbiclust_1.34.0.tar.gz |
| Windows Binary (x86_64) | MCbiclust_1.34.0.zip |
| macOS Binary (x86_64) | MCbiclust_1.34.0.tgz |
| macOS Binary (arm64) | MCbiclust_1.34.0.tgz |
| 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 |