DOI: 10.18129/B9.bioc.coseq  

This package is for version 3.17 of Bioconductor; for the stable, up-to-date release version, see coseq.

Co-Expression Analysis of Sequencing Data

Bioconductor version: 3.17

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.

Author: Andrea Rau [cre, aut] , Cathy Maugis-Rabusseau [ctb], Antoine Godichon-Baggioni [ctb]

Maintainer: Andrea Rau <andrea.rau at>

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biocViews GeneExpression, ImmunoOncology, RNASeq, Sequencing, Software
Version 1.24.0
In Bioconductor since BioC 3.5 (R-3.4) (6.5 years)
License GPL-3
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
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