Package: coseq
Type: Package
Title: Co-Expression Analysis of Sequencing Data
Version: 1.6.0
Date: 2018-10-12
Author: Andrea Rau, Cathy Maugis-Rabusseau, Antoine Godichon-Baggioni
Maintainer: Andrea Rau <andrea.rau@inra.fr>
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
Description: 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.
biocViews: GeneExpression, RNASeq, Sequencing, Software
License: GPL (>=3)
LazyLoad: yes
RoxygenNote: 6.0.1
VignetteBuilder: knitr
git_url: https://git.bioconductor.org/packages/coseq
git_branch: RELEASE_3_8
git_last_commit: b3af844
git_last_commit_date: 2018-10-30
Date/Publication: 2018-10-30
NeedsCompilation: no
Packaged: 2018-10-31 01:48:35 UTC; biocbuild
Built: R 3.5.1; ; 2019-01-02 08:37:06 UTC; unix
