DOI: 10.18129/B9.bioc.consensusDE  

RNA-seq analysis using multiple algorithms

Bioconductor version: Release (3.17)

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>

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


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biocViews Clustering, MultipleComparison, Sequencing, Software, Transcriptomics
Version 1.18.0
In Bioconductor since BioC 3.8 (R-3.5) (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
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Source Package consensusDE_1.18.0.tar.gz
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