ctsGE
Clustering of Time Series Gene Expression data
Bioconductor version: 3.24 · Package version: 1.39.0
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 |
| Downloads rank | 472 |
| Source branch | devel |
| biocViews | Bayesian, Clustering, DifferentialExpression, GeneExpression, GeneSetEnrichment, Genetics, ImmunoOncology, RNASeq, Sequencing, Software, TimeCourse, Transcription |
Documentation
Download
Follow the 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 (arm64) | ctsGE_1.39.0.tgz |
| macOS binary (x86_64) | ctsGE_1.39.0.tgz |