DOI: 10.18129/B9.bioc.coseq    

This package is for version 3.8 of Bioconductor; for the stable, up-to-date release version, see coseq.

Co-Expression Analysis of Sequencing Data

Bioconductor version: 3.8

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, Cathy Maugis-Rabusseau, Antoine Godichon-Baggioni

Maintainer: Andrea Rau <andrea.rau at>

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biocViews GeneExpression, ImmunoOncology, RNASeq, Sequencing, Software
Version 1.6.1
In Bioconductor since BioC 3.5 (R-3.4) (2 years)
License GPL (>=3)
Depends R (>= 3.4.0), SummarizedExperiment, S4Vectors
Imports edgeR, DESeq2, capushe, Rmixmod, e1071, BiocParallel, ggplot2 (>= 2.1.0), scales, HTSFilter, corrplot, HTSCluster (>= 2.0.8), grDevices, graphics, stats, methods, compositions, mvtnorm
Suggests Biobase, knitr, rmarkdown, testthat
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