This is the released version of clusterSeq; for the devel version, see clusterSeq.
Clustering of high-throughput sequencing data by identifying co-expression patternsBioconductor version: Release (3.21)
Identification of clusters of co-expressed genes based on their expression across multiple (replicated) biological samples.
Author: Thomas J. Hardcastle [aut], Irene Papatheodorou [aut], Samuel Granjeaud [cre] ORCID: 0000-0001-9245-1535
Maintainer: Samuel Granjeaud <samuel.granjeaud at inserm.fr>
Citation (from within R, entercitation("clusterSeq")
): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("clusterSeq")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("clusterSeq")
Details biocViews Clustering, DifferentialExpression, GeneExpression, MultipleComparison, Sequencing, Software Version 1.32.0 In Bioconductor since BioC 3.5 (R-3.4) (8 years) License GPL-3 Depends R (>= 3.0.0), methods, BiocParallel, baySeq, graphics, stats, utils Imports BiocGenerics System Requirements URL https://github.com/samgg/clusterSeq Bug Reports https://github.com/samgg/clusterSeq/issues See More Suggests BiocStyle Linking To Enhances Depends On Me Imports Me Suggests Me Links To Me Build Report Build Report Package Archives
Follow Installation instructions to use this package in your R session.
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4