This is the development version of consensusDE; for the stable release version, see consensusDE.
RNA-seq analysis using multiple algorithmsBioconductor version: Development (3.22)
This package allows users to perform DE analysis using multiple algorithms. It seeks consensus from multiple methods. Currently it supports "Voom", "EdgeR" and "DESeq". It uses RUV-seq (optional) to remove unwanted sources of variation.
Author: Ashley J. Waardenberg [aut, cre], Martha M. Cooper [ctb]
Maintainer: Ashley J. Waardenberg <a.waardenberg at gmail.com>
Citation (from within R, entercitation("consensusDE")
): 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("consensusDE")
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("consensusDE")
Details biocViews Clustering, MultipleComparison, Sequencing, Software, Transcriptomics Version 1.27.0 In Bioconductor since BioC 3.8 (R-3.5) (6.5 years) License GPL-3 Depends R (>= 3.5), BiocGenerics Imports airway, AnnotationDbi, BiocParallel, Biobase, Biostrings, data.table, dendextend, DESeq2(>= 1.20.0), EDASeq, ensembldb, edgeR, EnsDb.Hsapiens.v86, GenomicAlignments, GenomicFeatures, limma, org.Hs.eg.db, pcaMethods, RColorBrewer, Rsamtools, RUVSeq, S4Vectors, stats, SummarizedExperiment, TxDb.Dmelanogaster.UCSC.dm3.ensGene, utils System Requirements URL See More Package Archives
Follow Installation instructions to use this package in your R session.
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