To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("ctsGE")
In most cases, you don't need to download the package archive at all.
ctsGE
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Clustering of Time Series Gene Expression data
Bioconductor version: Release (3.5)
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 and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("ctsGE")
Documentation
| HTML | R Script | ctsGE Package |
| Reference Manual |
Details
| biocViews | Bayesian, Clustering, DifferentialExpression, GeneExpression, GeneSetEnrichment, Genetics, RNASeq, Sequencing, Software, TimeCourse, Transcription |
| Version | 1.2.0 |
| In Bioconductor since | BioC 3.4 (R-3.3) (1 year) |
| 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 | |
| Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | ctsGE_1.2.0.tar.gz |
| Windows Binary | ctsGE_1.2.0.zip |
| Mac OS X 10.11 (El Capitan) | ctsGE_1.2.0.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/ctsGE |
| Package Short Url | http://bioconductor.org/packages/ctsGE/ |
| Package Downloads Report | Download Stats |
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