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mfa

This package is deprecated. It will probably be removed from Bioconductor. Please refer to the package end-of-life guidelines for more information.

This package is for version 3.23 of Bioconductor. This package has been removed from Bioconductor. For the last stable, up-to-date release version, see mfa.

Bayesian hierarchical mixture of factor analyzers for modelling genomic bifurcations


Bioconductor version: Release (3.23)

MFA models genomic bifurcations using a Bayesian hierarchical mixture of factor analysers.

Author: Kieran Campbell [aut, cre]

Maintainer: Kieran Campbell <kieranrcampbell at gmail.com>

Citation (from within R, enter citation("mfa")):
Seminal Bioconductor project articles:

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("mfa")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

Reference Manual PDF

Details

biocViews Bayesian, GeneExpression, ImmunoOncology, RNASeq, SingleCell, Software
Version 1.34.0
In Bioconductor since BioC 3.6 (R-3.4) (9 years)
License GPL (>= 2)
Depends R (>= 3.4.0)
Imports methods, stats, ggplot2, Rcpp, dplyr, ggmcmc, MCMCpack, MCMCglmm, coda, magrittr, tibble, Biobase
System Requirements
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Suggests knitr, rmarkdown, BiocStyle, testthat
Linking To Rcpp
Enhances
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package
Windows Binary (x86_64)
macOS Binary (big-sur-x86_64)
macOS Binary (sonoma-arm64)
Source Repository git clone https://git.bioconductor.org/packages/mfa
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/mfa
Package Short Url https://bioconductor.org/packages/mfa/
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