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ctsGE

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

All versions 3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10, 3.9, 3.8, 3.7, 3.6, 3.5, 3.4

Clustering of Time Series Gene Expression data


Bioconductor version: Development (3.24)

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")):

Michal Sharabi-Schwager, Ron Ophir. ctsGE: Clustering of Time Series Gene Expression data. doi:10.18129/B9.bioc.ctsGE, R package version 1.39.0, https://bioconductor.org/packages/ctsGE.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

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

## The following initializes the development version of Bioconductor
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")
ctsGE Package HTML R Script
Reference ManualPDF

Details

biocViews Bayesian, Clustering, DifferentialExpression, GeneExpression, GeneSetEnrichment, Genetics, ImmunoOncology, RNASeq, Sequencing, Software, TimeCourse, Transcription
Version1.39.0
In Bioconductor sinceBioC 3.4 (R-3.3) (10 years)
License GPL-2
Depends R (>= 3.2)
Imports ccaPP, ggplot2, limma, reshape2, shiny, stats, stringr, utils
System Requirements
URLhttps://github.com/michalsharabi/ctsGE
Bug Reportshttps://github.com/michalsharabi/ctsGE/issues
See More
Suggests BiocStyle, dplyr, DT, GEOquery, knitr, pander, rmarkdown, testthat
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Package Archives

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

Source Package ctsGE_1.39.0.tar.gz
Windows Binary (x86_64) ctsGE_1.39.0.zip
macOS Binary (big-sur-x86_64) ctsGE_1.39.0.tgz
macOS Binary (sonoma-arm64) ctsGE_1.39.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/ctsGE
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/ctsGE
Package Short Url https://bioconductor.org/packages/ctsGE/
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