EBSeq
An R package for gene and isoform differential expression analysis of RNA-seq data
Bioconductor version: 3.23 · Package version: 2.10.0
Other Bioconductor versions
devel is the development version; release is the current stable one.
3.24 (devel), 3.23 (release)
Differential Expression analysis at both gene and isoform level using RNA-seq data
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("EBSeq")Details
| Maintainer | Xiuyu Ma <watsonforfun@gmail.com> |
| Author | Xiuyu Ma [cre, aut], Ning Leng [aut], Christina Kendziorski [ctb], Michael A. Newton [ctb] |
| License | Artistic-2.0 |
| System Requirements | c++14 |
| Source branch | RELEASE_3_23 |
| Build report | Bioconductor build system, r-universe |
| biocViews | DifferentialExpression, ImmunoOncology, MultipleComparison, RNASeq, Sequencing, Software, StatisticalMethod |
| Package Short Url | https://bioconductor.org/packages/EBSeq/ |
Citation
From within R, enter citation("EBSeq"):
Xiuyu Ma, Ning Leng. EBSeq: An R package for gene and isoform differential expression analysis of RNA-seq data. doi:10.18129/B9.bioc.EBSeq, R package version 2.10.0, https://bioconductor.org/packages/EBSeq.
Generated from the package metadata; it may differ from the package's own citation.
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | EBSeq_2.10.0.tar.gz |
| Windows binary (x86_64) | EBSeq_2.10.0.zip |
| macOS binary (arm64) | EBSeq_2.10.0.tgz |
| macOS binary (x86_64) | EBSeq_2.10.0.tgz |
Dependencies
Depends: blockmodeling, gplots, testthat, R (>= 3.0.0)
Imports: Rcpp (>= 0.12.11), RcppEigen (>= 0.3.2.9.0), BH