ctsGE

DOI: 10.18129/B9.bioc.ctsGE  

This package is for version 3.17 of Bioconductor; for the stable, up-to-date release version, see ctsGE.

Clustering of Time Series Gene Expression data

Bioconductor version: 3.17

Methodology for supervised clustering of potentially many predictor variables, such as genes etc., in time series datasets Provides functions that help the user assigning genes to predefined set of model profiles.

Author: Michal Sharabi-Schwager [aut, cre], Ron Ophir [aut]

Maintainer: Michal Sharabi-Schwager <michalsharabi at gmail.com>

Citation (from within R, enter citation("ctsGE")):

Installation

To install this package, start R (version "4.3") and enter:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("ctsGE")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("ctsGE")

 

HTML R Script ctsGE Package
PDF   Reference Manual

Details

biocViews Bayesian, Clustering, DifferentialExpression, GeneExpression, GeneSetEnrichment, Genetics, ImmunoOncology, RNASeq, Sequencing, Software, TimeCourse, Transcription
Version 1.26.0
In Bioconductor since BioC 3.4 (R-3.3) (7 years)
License GPL-2
Depends R (>= 3.2)
Imports ccaPP, ggplot2, limma, reshape2, shiny, stats, stringr, utils
LinkingTo
Suggests BiocStyle, dplyr, DT, GEOquery, knitr, pander, rmarkdown, testthat
SystemRequirements
Enhances
URL https://github.com/michalsharabi/ctsGE
BugReports https://github.com/michalsharabi/ctsGE/issues
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package ctsGE_1.26.0.tar.gz
Windows Binary ctsGE_1.26.0.zip
macOS Binary (x86_64) ctsGE_1.26.0.tgz
macOS Binary (arm64) ctsGE_1.26.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/ctsGE
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/ctsGE
Bioc Package Browser https://code.bioconductor.org/browse/ctsGE/
Package Short Url https://bioconductor.org/packages/ctsGE/
Package Downloads Report Download Stats

Documentation »

Bioconductor

R / CRAN packages and documentation

Support »

Please read the posting guide. Post questions about Bioconductor to one of the following locations: