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Bayesian hierarchical mixture of factor analyzers for modelling genomic bifurcations

Bioconductor version: Release (3.18)

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

Author: Kieran Campbell [aut, cre]

Maintainer: Kieran Campbell <kieranrcampbell at gmail.com>

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biocViews Bayesian, GeneExpression, ImmunoOncology, RNASeq, SingleCell, Software
Version 1.24.0
In Bioconductor since BioC 3.6 (R-3.4) (6.5 years)
License GPL (>= 2)
Depends R (>= 3.4.0)
Imports methods, stats, ggplot2, Rcpp, dplyr, ggmcmc, MCMCpack, MCMCglmm, coda, magrittr, tibble, Biobase
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Suggests knitr, rmarkdown, BiocStyle, testthat
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Source Package mfa_1.24.0.tar.gz
Windows Binary mfa_1.24.0.zip
macOS Binary (x86_64) mfa_1.24.0.tgz
macOS Binary (arm64) mfa_1.24.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/mfa
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/mfa
Bioc Package Browser https://code.bioconductor.org/browse/mfa/
Package Short Url https://bioconductor.org/packages/mfa/
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