Bioc2026 Registration Open!

coseq

Co-Expression Analysis of Sequencing Data

Bioconductor version: 3.24 · Package version: 1.37.0

Co-expression analysis for expression profiles arising from high-throughput sequencing data. Feature (e.g., gene) profiles are clustered using adapted transformations and mixture models or a K-means algorithm, and model selection criteria (to choose an appropriate number of clusters) are provided.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("coseq")

Details

MaintainerAndrea Rau <andrea.rau@inrae.fr>
AuthorAndrea Rau [cre, aut] (ORCID: <https://orcid.org/0000-0001-6469-488X>), Cathy Maugis-Rabusseau [ctb], Antoine Godichon-Baggioni [ctb]
LicenseGPL-3
Downloads rank611
Source branchdevel
biocViewsGeneExpression, ImmunoOncology, RNASeq, Sequencing, Software

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packagecoseq_1.37.0.tar.gz
macOS binary (arm64)coseq_1.37.0.tgz
macOS binary (x86_64)coseq_1.37.0.tgz
Dependencies

Depends: R (>= 4.0.0), SummarizedExperiment, S4Vectors

Imports: edgeR, DESeq2, capushe, Rmixmod, e1071, BiocParallel, ggplot2, scales, HTSFilter, corrplot, HTSCluster, grDevices, graphics, stats, methods, compositions, mvtnorm

Suggests: Biobase, knitr, rmarkdown, testthat, BiocStyle

Reverse dependencies

Depends On Me (1): RFLOMICS