This package is for version 3.7 of Bioconductor; for the stable, up-to-date release version, see coseq.
Bioconductor version: 3.7
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 inra.fr>
Citation (from within R,
enter citation("coseq")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("coseq")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("coseq")
HTML | R Script | coseq |
Reference Manual | ||
Text | NEWS |
biocViews | GeneExpression, RNASeq, Sequencing, Software |
Version | 1.4.0 |
In Bioconductor since | BioC 3.5 (R-3.4) (1.5 years) |
License | GPL (>=3) |
Depends | R (>= 3.4.1), SummarizedExperiment, S4Vectors |
Imports | edgeR, DESeq2, capushe, Rmixmod, e1071, BiocParallel, ggplot2 (>= 2.1.0), scales, HTSFilter, corrplot, HTSCluster (>= 2.0.8), gridExtra, grDevices, graphics, stats, methods, compositions, mvtnorm |
LinkingTo | |
Suggests | Biobase, knitr, rmarkdown, testthat |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | coseq_1.4.0.tar.gz |
Windows Binary | coseq_1.4.0.zip |
Mac OS X 10.11 (El Capitan) | coseq_1.4.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/coseq |
Source Repository (Developer Access) | git clone [email protected]:packages/coseq |
Package Short Url | http://bioconductor.org/packages/coseq/ |
Package Downloads Report | Download Stats |
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