M3C
This is the released version of M3C; for the devel version, see M3C.
Monte Carlo Reference-based Consensus Clustering
DOI: 10.18129/B9.bioc.M3C
Bioconductor version: Release (3.23)
M3C is a consensus clustering algorithm that uses a Monte Carlo simulation to eliminate overestimation of K and can reject the null hypothesis K=1.
Author: Christopher John, David Watson
Maintainer: Christopher John <chris.r.john86 at gmail.com>
citation("M3C")):
Huber W, Carey VJ, Gentleman R, Anders S, Carlson M, Carvalho BS, Bravo HC, Davis S, Gatto L, Girke T, Gottardo R, Hahne F, Hansen KD, Irizarry RA, Lawrence M, Love MI, MacDonald J, Obenchain V, Oleś AK, Pagès H, Reyes A, Shannon P, Smyth GK, Tenenbaum D, Waldron L, Morgan M (2015). "Orchestrating high-throughput genomic analysis with Bioconductor." Nature Methods, 12(2), 115–121. doi:10.1038/nmeth.3252.
Gentleman RC, Carey VJ, Bates DM, Bolstad B, Dettling M, Dudoit S, Ellis B, Gautier L, Ge Y, Gentry J, Hornik K, Hothorn T, Huber W, Iacus S, Irizarry R, Leisch F, Li C, Maechler M, Rossini AJ, Sawitzki G, Smith C, Smyth G, Tierney L, Yang JYH, Zhang J (2004). "Bioconductor: open software development for computational biology and bioinformatics." Genome Biology, 5(10), R80. doi:10.1186/gb-2004-5-10-r80.
Installation
To install this package, start R (version "4.6") 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 | R Script | |
| Reference Manual | ||
| NEWS | Text |
Details
| biocViews | Clustering, GeneExpression, ImmunoOncology, RNASeq, Sequencing, Software, Transcription |
| Version | 1.34.0 |
| In Bioconductor since | BioC 3.6 (R-3.4) (9 years) |
| License | AGPL-3 |
| Depends | R (>= 3.5.0) |
| Imports | ggplot2, Matrix, doSNOW, cluster, parallel, foreach, doParallel, matrixcalc, Rtsne, corpcor, umap |
| System Requirements | |
| URL |
See More
| Suggests | knitr, rmarkdown |
| Linking To | |
| Enhances | |
| Depends On Me | |
| Imports Me | lilikoi |
| Suggests Me | parameters |
| Links To Me | |
| Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | M3C_1.34.0.tar.gz |
| Windows Binary (x86_64) | M3C_1.34.0.zip |
| macOS Binary (big-sur-x86_64) | M3C_1.34.0.tgz |
| macOS Binary (sonoma-arm64) | M3C_1.34.0.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/M3C |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/M3C |
| Bioc Package Browser | https://code.bioconductor.org/browse/M3C/ |
| Package Short Url | https://bioconductor.org/packages/M3C/ |
| Package Downloads Report | Download Stats |