This is the released version of IgGeneUsage; for the devel version, see IgGeneUsage.
Differential gene usage in immune repertoiresBioconductor version: Release (3.21)
Detection of biases in the usage of immunoglobulin (Ig) genes is an important task in immune repertoire profiling. IgGeneUsage detects aberrant Ig gene usage between biological conditions using a probabilistic model which is analyzed computationally by Bayes inference. With this IgGeneUsage also avoids some common problems related to the current practice of null-hypothesis significance testing.
Author: Simo Kitanovski [aut, cre]
Maintainer: Simo Kitanovski <simo.kitanovski at uni-due.de>
Citation (from within R, entercitation("IgGeneUsage")
): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("IgGeneUsage")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("IgGeneUsage")
Details biocViews Bayesian, BiomedicalInformatics, DifferentialExpression, Genetics, ImmunoOncology, MathematicalBiology, Regression, Software Version 1.22.0 In Bioconductor since BioC 3.10 (R-3.6) (5.5 years) License MIT + file LICENSE Depends R (>= 4.2.0) Imports methods, reshape2 (>= 1.4.3), Rcpp (>= 0.12.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), rstantools (>= 2.2.0), SummarizedExperiment, tidyr System Requirements GNU make URL https://github.com/snaketron/IgGeneUsage Bug Reports https://github.com/snaketron/IgGeneUsage/issues See More Suggests BiocStyle, knitr, rmarkdown, testthat (>= 2.1.0), ggplot2, ggforce, ggrepel, patchwork Linking To BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), StanHeaders (>= 2.18.0) 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.
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