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Bioconductor - ctsGE (development version)

ctsGE

This is the development version of ctsGE; for the stable release version, see ctsGE.

Clustering of Time Series Gene Expression data

Bioconductor version: Development (3.22)

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 "4.5") and enter:


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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

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")
Details biocViews Bayesian, Clustering, DifferentialExpression, GeneExpression, GeneSetEnrichment, Genetics, ImmunoOncology, RNASeq, Sequencing, Software, TimeCourse, Transcription Version 1.35.0 In Bioconductor since BioC 3.4 (R-3.3) (8.5 years) License GPL-2 Depends R (>= 3.2) Imports ccaPP, ggplot2, limma, reshape2, shiny, stats, stringr, utils System Requirements URL https://github.com/michalsharabi/ctsGE Bug Reports https://github.com/michalsharabi/ctsGE/issues See More Package Archives

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

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