Package: ctsGE
Title: Clustering of Time Series Gene Expression data
Version: 1.38.0
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: cmake make libicu-dev libuv1-dev zlib1g-dev
Repository: Bioconductor 3.23
Date/Publication: 2026-04-28 12:43:56 UTC
RemoteUrl: https://github.com/bioc/ctsGE
RemoteRef: RELEASE_3_23
RemoteSha: 66dc5f84fd36c5e6a18be312e011d20d3335fcef
NeedsCompilation: no
Packaged: 2026-07-21 07:37:11 UTC; root
Author: Michal Sharabi-Schwager [aut, cre],
  Ron Ophir [aut]
Maintainer: Michal Sharabi-Schwager <michalsharabi@gmail.com>