ctsGE
Clustering of Time Series Gene Expression data
Bioconductor version: 3.23 · Package version: 1.38.0
Other Bioconductor versions
devel is the development version; release is the current stable one.
3.24 (devel), 3.23 (release)
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.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("ctsGE")Details
| Maintainer | Michal Sharabi-Schwager <michalsharabi@gmail.com> |
| Author | Michal Sharabi-Schwager [aut, cre], Ron Ophir [aut] |
| License | GPL-2 |
| URL | https://github.com/michalsharabi/ctsGE |
| Bug Reports | https://github.com/michalsharabi/ctsGE/issues |
| Source branch | RELEASE_3_23 |
| Build report | Bioconductor build system, r-universe |
| biocViews | Bayesian, Clustering, DifferentialExpression, GeneExpression, GeneSetEnrichment, Genetics, ImmunoOncology, RNASeq, Sequencing, Software, TimeCourse, Transcription |
| Package Short Url | https://bioconductor.org/packages/ctsGE/ |
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 1.38.0, https://bioconductor.org/packages/ctsGE.
Generated from the package metadata; it may differ from the package's own citation.
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | ctsGE_1.38.0.tar.gz |
| Windows binary (x86_64) | ctsGE_1.38.0.zip |
| macOS binary (arm64) | ctsGE_1.38.0.tgz |
| macOS binary (x86_64) | ctsGE_1.38.0.tgz |