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To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("MCbiclust")
In most cases, you don't need to download the package archive at all.
MCbiclust
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Massive correlating biclusters for gene expression data and associated methods
Bioconductor version: Release (3.5)
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 (from within R,
enter citation("MCbiclust")):
Installation
To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("MCbiclust")
Documentation
| HTML | R Script | Introduction to MCbiclust |
| Reference Manual |
Details
| biocViews | Clustering, GeneExpression, Microarray, RNASeq, Software, StatisticalMethod |
| Version | 1.0.1 |
| In Bioconductor since | BioC 3.5 (R-3.4) (0.5 years) |
| License | GPL-2 |
| Depends | R (>= 3.4) |
| Imports | BiocParallel, graphics, utils, stats, AnnotationDbi, GO.db, org.Hs.eg.db, GGally, ggplot2, scales, cluster |
| LinkingTo | |
| Suggests | gplots, knitr, rmarkdown, BiocStyle, gProfileR, MASS, dplyr, pander, devtools, testthat |
| SystemRequirements | |
| Enhances | |
| URL | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | MCbiclust_1.0.1.tar.gz |
| Windows Binary | MCbiclust_1.0.1.zip |
| Mac OS X 10.11 (El Capitan) | MCbiclust_1.0.1.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/MCbiclust |
| Package Short Url | http://bioconductor.org/packages/MCbiclust/ |
| Package Downloads Report | Download Stats |
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