zenith
This is the development version of zenith; for the stable release version, see zenith.
Gene set analysis following differential expression using linear (mixed) modeling with dream
Bioconductor version: Development (3.21)
Zenith performs gene set analysis on the result of differential expression using linear (mixed) modeling with dream by considering the correlation between gene expression traits. This package implements the camera method from the limma package proposed by Wu and Smyth (2012). Zenith is a simple extension of camera to be compatible with linear mixed models implemented in variancePartition::dream().
Author: Gabriel Hoffman [aut, cre]
Maintainer: Gabriel Hoffman <gabriel.hoffman at mssm.edu>
citation("zenith")
):
Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("zenith")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
Reference Manual |
Details
biocViews | BatchEffect, DifferentialExpression, Epigenetics, FunctionalGenomics, GeneExpression, GeneSetEnrichment, ImmunoOncology, Microarray, Normalization, Preprocessing, QualityControl, RNASeq, Regression, Software, Transcriptomics |
Version | 1.9.0 |
In Bioconductor since | BioC 3.16 (R-4.2) (2 years) |
License | Artistic-2.0 |
Depends | R (>= 4.2.0), limma, methods |
Imports | variancePartition(>= 1.26.0), EnrichmentBrowser(>= 2.22.0), GSEABase(>= 1.54.0), msigdbr (>= 7.5.1), Rfast, ggplot2, tidyr, reshape2, progress, utils, Rdpack, stats |
System Requirements | |
URL | https://DiseaseNeuroGenomics.github.io/zenith |
Bug Reports | https://github.com/DiseaseNeuroGenomics/zenith/issues |
See More
Suggests | BiocStyle, BiocGenerics, knitr, pander, rmarkdown, tweeDEseqCountData, edgeR, kableExtra, RUnit |
Linking To | |
Enhances | |
Depends On Me | |
Imports Me | |
Suggests Me | |
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Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | |
Windows Binary (x86_64) | |
macOS Binary (x86_64) | |
macOS Binary (arm64) | |
Source Repository | git clone https://git.bioconductor.org/packages/zenith |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/zenith |
Package Short Url | https://bioconductor.org/packages/zenith/ |
Package Downloads Report | Download Stats |