mfa
Bayesian hierarchical mixture of factor analyzers for modelling genomic bifurcations
Bioconductor version: Release (3.20)
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")
):
Installation
To install this package, start R (version "4.4") 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
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("mfa")
Vignette Title | HTML | R Script |
Reference Manual |
Details
biocViews | Bayesian, GeneExpression, ImmunoOncology, RNASeq, SingleCell, Software |
Version | 1.28.0 |
In Bioconductor since | BioC 3.6 (R-3.4) (7 years) |
License | GPL (>= 2) |
Depends | R (>= 3.4.0) |
Imports | methods, stats, ggplot2, Rcpp, dplyr, ggmcmc, MCMCpack, MCMCglmm, coda, magrittr, tibble, Biobase |
System Requirements | |
URL |
See More
Suggests | knitr, rmarkdown, BiocStyle, testthat |
Linking To | Rcpp |
Enhances | |
Depends On Me | |
Imports Me | |
Suggests Me | splatter |
Links To Me | |
Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | mfa_1.28.0.tar.gz |
Windows Binary (x86_64) | mfa_1.28.0.zip |
macOS Binary (x86_64) | mfa_1.28.0.tgz |
macOS Binary (arm64) | mfa_1.27.0.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/ |
Package Downloads Report | Download Stats |