coseq
Co-Expression Analysis of Sequencing Data
Bioconductor version: 3.23 · Package version: 1.36.0
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.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("coseq") Details
| Maintainer | Andrea Rau <andrea.rau@inrae.fr> |
| Author | Andrea Rau [cre, aut] (ORCID: <https://orcid.org/0000-0001-6469-488X>), Cathy Maugis-Rabusseau [ctb], Antoine Godichon-Baggioni [ctb] |
| License | GPL-3 |
| Downloads rank | 611 |
| Source branch | RELEASE_3_23 |
| biocViews | GeneExpression, ImmunoOncology, RNASeq, Sequencing, Software |
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | coseq_1.36.0.tar.gz |
| Windows binary (x86_64) | coseq_1.35.0.zip |
| macOS binary (arm64) | coseq_1.36.0.tgz |
| macOS binary (x86_64) | coseq_1.36.0.tgz |
Dependencies
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
Reverse dependencies
Depends On Me (1): RFLOMICS