DOI: 10.18129/B9.bioc.consensusDE    

This package is for version 3.10 of Bioconductor; for the stable, up-to-date release version, see consensusDE.

RNA-seq analysis using multiple algorithms

Bioconductor version: 3.10

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

Maintainer: Ashley J. Waardenberg <a.waardenberg at>

Citation (from within R, enter citation("consensusDE")):


To install this package, start R (version "3.6") and enter:

if (!requireNamespace("BiocManager", quietly = TRUE))


For older versions of R, please refer to the appropriate Bioconductor release.


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



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biocViews Clustering, MultipleComparison, Sequencing, Software, Transcriptomics
Version 1.4.0
In Bioconductor since BioC 3.8 (R-3.5) (1.5 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,, pcaMethods, RColorBrewer, Rsamtools, RUVSeq, S4Vectors, stats, SummarizedExperiment, TxDb.Dmelanogaster.UCSC.dm3.ensGene, utils
Suggests knitr, rmarkdown
Depends On Me
Imports Me
Suggests Me
Links To Me
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Source Package consensusDE_1.4.0.tar.gz
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Mac OS X 10.11 (El Capitan) consensusDE_1.4.0.tgz
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