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.
Bioconductor version: Release (3.4)
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")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("ctsGE")
HTML | R Script | ctsGE Package |
Reference Manual |
biocViews | Bayesian, Clustering, DifferentialExpression, GeneExpression, GeneSetEnrichment, Genetics, RNASeq, Sequencing, Software, TimeCourse, Transcription |
Version | 1.0.0 |
In Bioconductor since | BioC 3.4 (R-3.3) (0.5 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 | |
Build Report |
Follow Installation instructions to use this package in your R session.
Package Source | ctsGE_1.0.0.tar.gz |
Windows Binary | ctsGE_1.0.0.zip |
Mac OS X 10.9 (Mavericks) | ctsGE_1.0.0.tgz |
Subversion source | (username/password: readonly) |
Git source | https://github.com/Bioconductor-mirror/ctsGE/tree/release-3.4 |
Package Short Url | http://bioconductor.org/packages/ctsGE/ |
Package Downloads Report | Download Stats |
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