Package: ctsGE
Title: Clustering of Time Series Gene Expression data
Version: 1.37.0
Authors@R: c(person("Michal", "Sharabi-Schwager",
                email = "michalsharabi@gmail.com", role = c("aut", "cre")),
                person("Ron", "Ophir",
                    email = "ron@volcani.agri.gov.il", role = "aut"))
Description: 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.
Depends: R (>= 3.2)
Imports: ccaPP, ggplot2, limma, reshape2, shiny, stats, stringr, utils
Suggests: BiocStyle, dplyr, DT, GEOquery, knitr, pander, rmarkdown,
        testthat
URL: https://github.com/michalsharabi/ctsGE
BugReports: https://github.com/michalsharabi/ctsGE/issues
License: GPL-2
RoxygenNote: 5.0.1
VignetteBuilder: knitr
biocViews: ImmunoOncology, GeneExpression, Transcription,
        DifferentialExpression, GeneSetEnrichment, Genetics, Bayesian,
        Clustering, TimeCourse, Sequencing, RNASeq
Config/pak/sysreqs: make libicu-dev zlib1g-dev
Repository: https://bioc.r-universe.dev
Date/Publication: 2025-10-29 14:33:30 UTC
RemoteUrl: https://github.com/bioc/ctsGE
RemoteRef: HEAD
RemoteSha: 87924de97205d8ab75eb7a244b92ddabbc113ad5
NeedsCompilation: no
Packaged: 2025-11-02 03:38:48 UTC; root
Author: Michal Sharabi-Schwager [aut, cre],
  Ron Ophir [aut]
Maintainer: Michal Sharabi-Schwager <michalsharabi@gmail.com>
Built: R 4.6.0; ; 2025-11-02 03:41:09 UTC; windows
