M3C
This package is for version 3.7 of Bioconductor; for the stable, up-to-date release version, see M3C.
Monte Carlo Consensus Clustering
Bioconductor version: 3.7
Genome-wide data is used to stratify patients into classes using class discovery algorithms. However, we have observed systematic bias present in current state-of-the-art methods. This arises from not considering reference distributions while selecting the number of classes (K). As a solution, we developed a consensus clustering-based algorithm with a hypothesis testing framework called Monte Carlo consensus clustering (M3C). M3C uses a multi-core enabled Monte Carlo simulation to generate null distributions along the range of K which are used to calculate p values to select its value. P values beyond the limits of the simulation are estimated using a beta distribution. M3C can quantify structural relationships between clusters and uses spectral clustering to deal with non-gaussian and imbalanced structures.
Author: Christopher John [aut, cre]
Maintainer: Christopher John <chris.r.john86 at gmail.com>
citation("M3C")
):
Installation
To install this package, start R (version "3.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("M3C")
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("M3C")
M3C | HTML | R Script |
Reference Manual | ||
NEWS | Text |
Details
biocViews | Clustering, GeneExpression, RNASeq, Sequencing, Software, Transcription |
Version | 1.2.0 |
In Bioconductor since | BioC 3.6 (R-3.4) (6.5 years) |
License | AGPL-3 |
Depends | R (>= 3.4.0) |
Imports | ggplot2, Matrix, doSNOW, NMF, RColorBrewer, cluster, parallel, foreach, doParallel, matrixcalc, dendextend, sigclust |
System Requirements | |
URL |
See More
Suggests | knitr, rmarkdown |
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 | M3C_1.2.0.tar.gz |
Windows Binary | M3C_1.2.0.zip |
Mac OS X 10.11 (El Capitan) | M3C_1.2.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/M3C |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/M3C |
Package Short Url | https://bioconductor.org/packages/M3C/ |
Package Downloads Report | Download Stats |
Old Source Packages for BioC 3.7 | Source Archive |