Package: coseq
Type: Package
Title: Co-Expression Analysis of Sequencing Data
Version: 1.10.0
Date: 2019-04-28
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, ImmunoOncology
License: GPL (>=3)
LazyLoad: yes
Encoding: UTF-8
RoxygenNote: 6.1.1
VignetteBuilder: knitr
git_url: https://git.bioconductor.org/packages/coseq
git_branch: RELEASE_3_10
git_last_commit: 95c9cf3
git_last_commit_date: 2019-10-29
Date/Publication: 2019-10-29
NeedsCompilation: no
Packaged: 2019-10-30 02:28:48 UTC; biocbuild
Built: R 3.6.1; ; 2019-11-04 14:21:18 UTC; unix
