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Bioconductor - zenith (development version)

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 (3.22)

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] ORCID: 0000-0002-0957-0224

Maintainer: Gabriel Hoffman <gabriel.hoffman at mssm.edu>

Citation (from within R, enter 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

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("zenith")
Details biocViews BatchEffect, DifferentialExpression, Epigenetics, FunctionalGenomics, GeneExpression, GeneSetEnrichment, ImmunoOncology, Microarray, Normalization, Preprocessing, QualityControl, RNASeq, Regression, Software, Transcriptomics Version 1.11.0 In Bioconductor since BioC 3.16 (R-4.2) (2.5 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, Rfast, ggplot2, tidyr, dplyr, reshape2, progress, utils, Rdpack, stats System Requirements URL https://DiseaseNeuroGenomics.github.io/zenith Bug Reports https://github.com/DiseaseNeuroGenomics/zenith/issues See More Package Archives

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


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