Package: ctsGE
Title: Clustering of Time Series Gene Expression data
Version: 1.36.0
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-release.r-universe.dev
Date/Publication: 2025-10-29 14:33:30 UTC
RemoteUrl: https://github.com/bioc/ctsGE
RemoteRef: RELEASE_3_22
RemoteSha: f0f5237461d74d7324819c77aa59b6ec7b62e237
NeedsCompilation: no
Packaged: 2025-11-17 07:36:17 UTC; root
Author: Michal Sharabi-Schwager [aut, cre],
  Ron Ophir [aut]
Maintainer: Michal Sharabi-Schwager <michalsharabi@gmail.com>
Built: R 4.5.2; ; 2025-11-17 07:37:46 UTC; windows
